&lt;p&gt;&lt;strong&gt;Title:&amp;nbsp; &lt;/strong&gt;&lt;strong&gt;Mobile Deep Learning Imaging Research Engineer &lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Company:&amp;nbsp; Samsung Research America&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Lab:&amp;nbsp; MPI&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Location:&amp;nbsp; Plano, TX&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Lab/Position Summary: &lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Mobile Processor Innovation Lab, &lt;/strong&gt;&lt;strong&gt;Samsung Research America&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Mobile Processor Innovation (MPI) Lab, Samsung Research America, serves research and development needs for Mobile Communications Business of Samsung Electronics, which leads the global market with innovative technology and design, launching breakthrough products like the Galaxy Fold series, Galaxy Note series, and the Galaxy S series of mobile phones.&amp;nbsp; Our team works hard to create and develop next-generation technologies in the pursuit of continued success as the world’s number one handset provider.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Position Summary&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Mobile Processor Innovation (MPI) Lab is looking to fill a position in the Deep Learning Imaging R&amp;amp;D role, with the goal of advancing user experience differentiations in Samsung Galaxy mobile camera. As a Deep Learning Expert you will be in charge of inventing cutting edge deep learning model that significantly enhance the mobile camera photography experience such as low light photography, under display camera, AI enhanced photography, and etc. You will also work on demonstrating efficient implementations on upcoming Galaxy mobile platforms by using the hardware’s resources in new and creative ways. You will work with worldwide team to develop product quality solution, and make business impact by delivering the solution in Galaxy flagship smartphones.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Responsibilitie&lt;/strong&gt;&lt;strong&gt;s:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Identify areas of differentiation and innovation on camera user experience using, deep learning principles&lt;/li&gt;
&lt;li&gt;Prototype algorithms on PC and embedded platforms&lt;/li&gt;
&lt;li&gt;Understand constraints of mobile platform and use that understanding to deliver feasible and efficient deep learning model to achieve the world best photography experience&lt;/li&gt;
&lt;li&gt;Write high quality prototype code that can easily be integrated into production system SW by worldwide teams&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;MS/Ph.D. in Electrical Engineering/Computer Engineering/Computer Science or equivalent combination of education, training, and experience in computational imaging.&lt;/li&gt;
&lt;li&gt;Good understanding of and experience with camera systems on mobile platforms in the following areas: multi-frame-multi-camera computational imaging systems, deep learning, synthetic data generation pipeline&lt;/li&gt;
&lt;li&gt;Acute understanding of camera quality and user experience, a keen eye for image quality, and a passion for continuous improvement is a must-have attribute&lt;/li&gt;
&lt;li&gt;Hands-on experience with embedded implementation of deep-learning algorithm&lt;/li&gt;
&lt;li&gt;Experience in optimizing deep learning network on mobile platform.&lt;/li&gt;
&lt;li&gt;Understanding of AP and mobile industry and related technical trends on NPU is a plus&lt;/li&gt;
&lt;li&gt;Strong communication skills for effective interactions with R&amp;amp;D management as well as peer groups and team members&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Desired Skills and Experienc&lt;/strong&gt;&lt;strong&gt;e:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Strong deep learning and machine learning background in image processing and computational imaging&lt;/li&gt;
&lt;li&gt;Ability and willingness to travel internationally&lt;/li&gt;
&lt;li&gt;Familiarity with smartphone and other mobile product development&lt;/li&gt;
&lt;li&gt;Understanding of inertial sensors and their use for computational imaging is a plus&lt;/li&gt;
&lt;li&gt;Experience with Android, especially in building image processing / computer vision apps is a plus&lt;/li&gt;
&lt;li&gt;Understanding of HLOS layers, Multimedia SW frameworks and compute paradigms is a plus&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;p&gt;&lt;strong&gt;Additional Information &lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;For U.S. Candidates Only: SRA has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees and visitors. As a condition of employment, all employees based in the U.S. are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law. &lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Work Hours &lt;/u&gt;&lt;/p&gt;
&lt;p&gt;Incumbent must make themselves available during core business hours.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Travel Requirements &lt;/u&gt;&lt;/p&gt;
&lt;p&gt;This position requires the incumbent to travel for work 10% of the time.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Physical Requirements &lt;/u&gt;&lt;/p&gt;
&lt;p&gt;This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, and reach with hands and arms.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;EEO Statement &lt;/u&gt;&lt;/p&gt;
&lt;p&gt;Samsung is committed to encouraging a diverse workplace and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.&lt;/p&gt;
&lt;p&gt;If you have a disability or special need that requires accommodation, please let us know.&lt;/p&gt;
&lt;p&gt;All your information will be kept confidential according to EEO guidelines.&lt;/p&gt;&lt;/div&gt;

Mobile Deep Learning Imaging Research Engineer       

J.P. Morgan Payments sits at the intersection of finance and technology and is one of the largest players (processing $6 trillion of payments a day) in an industry undergoing a major transformation. We are focused on supporting transformational technologies and business model shifts such as e-commerce marketplaces and B2B2C platforms, digital wallets, virtual accounts, embedded banking, Liink and JPM Coin, as well as serving the payments and value-added service needs of small businesses. These market opportunities have us not only competing with our traditional global banking rivals, but also increasingly with fintechs and big tech where we target new buying centers and need to influence end-users.&lt;p&gt;The JPM Payments Marketing Analytics team is responsible for measuring the effectiveness and driving the strategy of Payments marketing as the business evolves and our competitive set expands. As a data scientist on the Payments Marketing Analytics team, you will:&lt;br&gt;     * Build and deploy multi-touch attribution models to improve valuations of marketing investment and optimize spend across channels;&lt;br&gt;     * Utilize statistical and ML models to analyze how the sequence of touches (webinars, events, social, etc.) can be optimized to improve engagement and conversion;&lt;br&gt;     * Train and validate lead scoring models based on both explicit data (what leads share directly) and implicit data (how a lead interacts with various content marketing efforts);&lt;br&gt;     * Develop robust CLTV models with deep segmentation (LOB, client size, product type, sub-product, and industry) to support ROMI analysis;&lt;br&gt;     * Own automation of marketing reporting using Alteryx and Tableau;&lt;br&gt;     * Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with marketing problems.&lt;p&gt;Minimum Qualifications:&lt;br&gt;     * 7+ years of relevant work experience in B2B marketing analytics and campaign performance measurement/optimization, including knowledge of Adobe Analytics, Marketo, Google Analytics, and similar platforms/tools;&lt;br&gt;     * Alteryx Advanced or Expert Certification (required);&lt;br&gt;     * 3+ years of experience using Alteryx and Tableau for business analytics and reporting;&lt;br&gt;     * 5+ years of experience applying ML and advanced statistical modeling (e.g., classification, regression, clustering, time series forecasting, collaborative filtering, etc.) in a marketing context;&lt;br&gt;     * Advanced knowledge of SQL and either Python or R;&lt;br&gt;     * Bachelor&#x27;s or Master&#x27;s degree in a quantitative discipline (e.g., data science/analytics, mathematics, statistics, engineering or finance).&lt;p&gt;Candidates who will be successful in this role will be:&lt;br&gt;     * Excellent at solving unstructured problems independently;&lt;br&gt;     * Highly organized and able to prioritize multiple tasks;&lt;br&gt;     * Able to articulate findings and deliver practical data insights in a compelling manner to senior leadership;&lt;br&gt;     * Intellectually curious and eager to learn new things with an eye towards innovation.&lt;p&gt;JPMorgan Chase &amp; Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&#x27;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;br&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Marketing Analytics, Data Scientist

J.P. Morgan&#x27;s Corporate &amp; Investment Bank (CIB) is a global leader in Banking. The world&#x27;s corporations, governments and institutions entrust us with their business in more than 100 countries. The Corporate &amp; Investment Bank supports our clients around the world providing strategic advice, raising capital and managing risk.&lt;p&gt;J.P. Morgan Payments is one of the world&#x27;s largest providers of treasury management and merchant services. Payments sits at the intersection of finance and technology and is one of the largest players (processing $6 trillion of payments a day) in an industry undergoing a major transformation. Merchant Services is the global payment acceptance and merchant acquiring business of JPMorgan Chase &amp; Co. Merchant Services is a leading provider of payment, fraud management and data security solutions, capable of authorizing transactions in more than 130 currencies. The company&#x27;s proprietary platforms provide integrated commerce solutions for all major credit and debit card payments as well as mobile payments. Merchant Services has uniquely combined proven payment technology with a long legacy of merchant advocacy that creates quantifiable value for ecommerce companies. Merchant Services is the #1 Merchant Acquirer Worldwide, based on volume, by The Nilson Report in April 2016.&lt;p&gt;The J.P. Morgan Payments Data and Analytics team is responsible for defining and executing the multi-year global analytics strategy and roadmap. We are a new and rapidly growing team of change agents inside J.P. Morgan. We are data scientists, design strategists, and business leaders creating and building data products that transform the way we and our clients do business - balancing the art of decision making with science. What we build matters and will have huge impact; our products and solutions will reach thousands of our clients around the world, and affect how J.P. Morgan does business, moving trillions of dollars a day.&lt;p&gt;New technologies, analytics and business models are emerging with the potential to radically transform financial services. You will be at the leading edge inside the company driving change.&lt;p&gt;The Data Scientist Associate Sr role is responsible for executing big data analytics projects in response to product innovation for Merchant Services. Tangible output of the programs are payments insights that drive optimization of authorization, chargeback and cost of payments for large merchants - as well as deep consumer and business insights. As the analytics mature, these insights can be productized into products for merchants (&quot;insights as a service&quot;). Designing these insight product data pipelines for efficiency, resiliency, and quality is core to delivering value.&lt;p&gt;The right candidate for this position is of course highly proficient with managing complex data sets, using modern statistical and data exploration practices and passionate about delivering value to clients. But you are also curious and creative, having the ability to organize stakeholder problems into clear business objectives for which you can create analytics solutions that deliver immediate value. You have a strong desire to get your ideas off the drawing board, preferring to quickly develop prototypical solutions that you can hone and improve in collaboration with team mates and stakeholders. You&#x27;re comfortable reaching out to subject matter experts to build your business knowledge and grow your understanding of pain points that represent analytic opportunities. You love a big challenge and are willing to learn new skills if needed to get the job done. And you&#x27;re excited to develop subject matter expertise in a world-class payments organization and help develop the innovative analytics for the future of end-to-end payment optimization.&lt;p&gt;Principal Duties &amp; Responsibilities:&lt;br&gt;     * Develop and plan analytic projects through understanding the business objectives in the team strategy roadmap&lt;br&gt;     * Develop robust analysis and deliverable plans to support clear and shared understanding of project requirements and goals&lt;br&gt;     * Develop the data, queries, tables and visualizations that deliver insight both as an individual contributor and in collaboration with team mates&lt;br&gt;     * Through deep subject matter expertise, create actionable recommendations to merchants on how to optimize their payment performance&lt;br&gt;     * Synthesize data sets to craft actionable consumer insights that support merchant growth agendas&lt;br&gt;     * Develop and Tableau dashboards for resilience and the functionality users need&lt;br&gt;     * Bring your creative solutions to the firm&#x27;s biggest problems: where could our existing solutions do better?&lt;br&gt;     * In conjunction with data owners and department managers, contribute to the development of data models for future analytics and platforms&lt;br&gt;     * Collaborate with unit managers, end users, development staff, and other stakeholders to understand the business value of each analytic effort&lt;br&gt;     * Apply quality and service assurance best practices for analytics services and support user feedback and questions&lt;br&gt;     * Adhere to change control and testing processes for modifications to code and products&lt;p&gt;Skills and Experience:&lt;br&gt;     * Bachelor&#x27;s Degree in engineering, computer science, statistics, mathematics or similar technical or quantitative field&lt;br&gt;     * 3 years or more of working in a big data analytics environment as a contributing member in self-directed roles. (A combination of advanced degree and relevant experience is acceptable.)&lt;br&gt;     * Experience performing distributed data analysis with Apache Spark in a notebook environment&lt;br&gt;     * Experience designing massively parallel data pipelines to deliver insights at scale&lt;br&gt;     * Experience optimizing distributed SQL execution and analyzing data pipelines for performance improvement&lt;br&gt;     * Ability to clearly develop and document analytic requirements with stakeholders&lt;br&gt;     * AWS architect, developer, or data analytics specialty experience is highly desirable&lt;br&gt;     * Experience in the payments industry and/or technology-enabled industries is desirable&lt;p&gt;General Requirements:&lt;br&gt;     * Build trust-based relationships; we succeed as a team&lt;br&gt;     * Have strong interpersonal and communication skills and the ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives&lt;br&gt;     * Think creatively and contribute ideas at all levels of project development&lt;br&gt;     * Have the ability and willingness to learn new things&lt;br&gt;     * Meet deadlines and communicate obstacles to delivery as soon as they become known&lt;br&gt;     * Demonstrate effective and confident presentation skills&lt;br&gt;     * Be results oriented and have great attention to detail&lt;p&gt;JPMorgan Chase &amp; Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&#x27;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;br&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Data Scientist - Sr Associate - Payment Data and Analytics

The Data Scientist is an individual contributor that should be able to apply quantitative, data science and analytical skills to complex problems. He/she should be able to work across teams to design, develop, and evaluate and execute against those data science and analytical solutions with a keen functional understanding of the business problem. He/she will be responsible for data wrangling, data analysis, modeling, including model selection and producing quick applicable modeling solutions.&lt;p&gt;The position will serve as a thought leader including advising on optimal solutions and opining on challenger models. The role works on strategic, highly visible projects firm wide. It is an opportunity to have meaningful impact on a large scale at a leading financial services firm. The role will develop data-centric solutions that move the bottom line for the firm.&lt;p&gt;In Corporate Technology Machine Learning at JPMorgan Chase, our role involves solving challenging business problems through data science and machine learning techniques across all the corporate functions, including Risk, Compliance, Finance, HR, Legal, and Audit.&lt;p&gt;This role requires a wide variety of strengths and capabilities, including:&lt;br&gt;     * Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)&lt;br&gt;     * Extensive practical expertise and work experience with Machine Learning, both supervised and unsupervised. Deep Learning (neural network) experience is preferred&lt;br&gt;     * Experience across broad range of modern analytic and data tools, particularly Python/Anaconda and/or R, XGBoost, Tensorflow and/or Keras, Spark, Hive, SQL&lt;br&gt;     * Experience working with engineering teams to operationalize Machine Learning models&lt;br&gt;     * Excellent problem solving, communications, and teamwork skills&lt;p&gt;Financial service background preferred, but not required&lt;p&gt;JPMorgan Chase &amp; Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&#x27;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;br&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Data Scientist - Corporate Technology

The VP Data Scientist is an individual contributor who should be able to apply quantitative, data science and analytical skills to complex problems. He/she should be able to work across teams to design, develop, and evaluate and execute against those data science and analytical solutions with a keen functional understanding of the business problem. He/she will be responsible for data wrangling, data analysis, modeling, including model selection and producing quick applicable modeling solutions.&lt;p&gt;The position will serve as a thought leader including advising on optimal solutions and opining on challenger models. The role works on strategic, highly visible projects firm wide. It is an opportunity to have meaningful impact on a large scale at a leading financial services firm. The role will develop data-centric solutions that move the bottom line for the firm.&lt;p&gt;In Corporate Technology Machine Learning at JPMorgan Chase, our role involves solving challenging business problems through data science and machine learning techniques across all the corporate functions, including Risk, Compliance, Finance, HR, Legal, and Audit.&lt;p&gt;This role requires a wide variety of strengths and capabilities, including:&lt;br&gt;     * Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)&lt;br&gt;     * Extensive practical expertise and work experience with Machine Learning, both supervised and unsupervised. Deep Learning (neural network) experience is preferred&lt;br&gt;     * Experience across broad range of modern analytic and data tools, particularly Python/Anaconda and/or R, XGBoost, Tensorflow and/or Keras, Spark, Hive, SQL&lt;br&gt;     * Experience working with engineering teams to operationalize Machine Learning models&lt;br&gt;     * Excellent problem solving, communications, and teamwork skills&lt;br&gt;     * Financial service background preferred, but not required&lt;p&gt;JPMorgan Chase &amp; Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&#x27;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;br&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Vice President - Data Scientist

VP - Data Scientist

VP - Data Science / Machine Learning

As the champion for machine learning and data science in cybersecurity, this role will drive adoption of ML to strengthen JPMC&#x27;s cyber controls. As a member of the CTC ML security team, you will collaborate with cyber analysts and broader JPMC data science community to bring best-practices and MLOps principles to CTC ML development. Qualified candidates should possess strengths and capabilities in machine learning, data science, SW engineering, and program management.&lt;p&gt;Knowledge, experience, and capability required for the role include:&lt;br&gt;     * 10+ years of experience as a technical program manager, SW engineering manager, and/or ML/DS development manager&lt;br&gt;     * Expert knowledge in machine learning and MLOps principles and best-practices with 5+ years of experience as a ML data scientist&lt;br&gt;     * Hands-on experience in developing ML-based cybersecurity solutions for enterprise use&lt;br&gt;     * 5+ years of proven background in security engineering/architecture with specialization in data protection, cloud security, applied cryptography, and/or adversarial machine learning&lt;br&gt;     * Ability to convey complex concepts and ideas in a clear and concise manner to a wide range of audience&lt;br&gt;     * Proven track record in working with diverse teams to achieve goals&lt;br&gt;     * BS/BA in STEM degree or equivalent experience&lt;p&gt;Preferred experience and knowledge in one or more of the following:&lt;br&gt;     * ML-based anomaly detection tools development&lt;br&gt;     * Hands-on data science-based threat hunting&lt;br&gt;     * Continuous integration and delivery (CI/CD)&lt;br&gt;     * Advanced degree in Machine Learning, Data Science, Statistics, Computer Science, or equivalent experience&lt;p&gt;JPMorgan Chase &amp; Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&#x27;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;br&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Product Architect - Artificial Intelligence | AI & Machine Learning | ML

The VP Data Scientist is an individual contributor who should be able to apply quantitative, data science and analytical skills to complex problems. He/she should be able to work across teams to design, develop, and evaluate and execute against those data science and analytical solutions with a keen functional understanding of the business problem. He/she will be responsible for data wrangling, data analysis, modeling, including model selection and producing quick applicable modeling solutions.&lt;p&gt;The position will serve as a thought leader including advising on optimal solutions and opining on challenger models. The role works on strategic, highly visible projects firm wide. It is an opportunity to have meaningful impact on a large scale at a leading financial services firm. The role will develop data-centric solutions that move the bottom line for the firm.&lt;p&gt;In Corporate Technology Machine Learning at JPMorgan Chase, our role involves solving challenging business problems through data science and machine learning techniques across corporate functions, including Risk, Compliance, Finance, HR, Legal, and Audit.&lt;p&gt;This role requires a wide variety of strengths and capabilities, including:&lt;br&gt;     * Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)&lt;br&gt;     * Extensive practical expertise and work experience with Machine Learning, both supervised and unsupervised. Deep Learning (neural network) experience is preferred&lt;br&gt;     * Experience across broad range of modern analytic and data tools, particularly Python/Anaconda and/or R, XGBoost, Tensorflow and/or Keras, Spark, Hive, SQL&lt;br&gt;     * Experience working with engineering teams to operationalize Machine Learning models&lt;br&gt;     * Excellent problem solving, communications, and teamwork skills&lt;br&gt;     * Financial service background preferred, but not required&lt;p&gt;JPMorgan Chase &amp; Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&#x27;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;br&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Within Merchant Services, the Global Small Business (SMB) organizationis responsible for driving payments innovation and growth through strategic partnerships as well as direct merchant acquisition designed to address the unique needs of small businesses. The new SMB Operations organization will be responsible for driving operational efficiencies in order to deliver on our business objectives while ensuring our customer experience is best in class. In order to unlock the combined value and full potential of multi-channel, multi-product organization we are creating a Revenue Operations team. The Revenue Operations team will be responsible for measuring the end-to-end customer funnel through lead to activation through ramp, identifying what is working and opportunity areas. Once tracking is in place the team will partner cross-functionally to track the impact of new strategies to improve the end-to-end funnel.&lt;p&gt;The team will partner with data and analytics, business management teams and more to understand what tracking exists today and then using the latest technology and best practices create new source of truth reporting for the SMB funnel from lead to live. Optimization initiatives will be led by the cross-functional partners including: Marketing, Sales, Operations, etc. This team will be responsible for measuring the effectiveness of those initiatives to improve the customer experience, drive operational efficiencies and grow revenue.&lt;p&gt;Principal Duties &amp; Responsibilities&lt;br&gt;     * Plan and develop required analytic projects in response to Merchant Services - Small Business analytics strategy and roadmap&lt;br&gt;     * Execute analytical projects as an individual contributor&lt;br&gt;     * Focus on delivering actionable recommendations to merchants on how to optimize their payment performance (authorizations, charge backs, cost of payments)&lt;br&gt;     * Work on cross LOB projects to provide insights on new product offerings that can maximize growth opportunities.&lt;br&gt;     * Deliver deep, actionable consumer insights that support merchant&#x27;s growth agenda&lt;br&gt;     * Develop visualizations of analytics insights in Tableau (for consumption of relevant stakeholders)&lt;br&gt;     * Contribute to &quot;productization&quot; analytical insights in collaboration with cross-functional teams&lt;br&gt;     * Develop new analytical modeling methods and/or tools as required&lt;br&gt;     * Work with business domain experts and application developers to identify data relevant for analysis&lt;br&gt;     * Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis&lt;br&gt;     * In conjunction with data owners and department managers, contribute to the development of data models for analytics&lt;br&gt;     * Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems&lt;br&gt;     * Apply quality assurance best practices for analytics services&lt;br&gt;     * Adhere to change control and testing processes for modifications to analytical model&lt;br&gt;     * Ability to analyze and summarize results and present/defend data-drive recommendations to executive leadership&lt;p&gt;Experience&lt;br&gt;     * 5+ years of working in large and medium project teams, as a contributing member in self-directed roles&lt;br&gt;     * Bachelor&#x27;s Degree; Advance Degree preferred&lt;br&gt;     * Expertise in data mining, quantitative research techniques, theories, principles, and practices&lt;br&gt;     * Experience in the payments industry and/or technology-enabled industries&lt;br&gt;     * In-depth understanding of the payments value chain (merchants, brands, acquirers, networks, issuers) and associated data assets - or in-depth understanding of consumer insights&lt;br&gt;     * Deep experience across the full range of database and business intelligence tools (especially SQL on Hadoop (Hive, Impala) and Tableau); publishing and presenting information in an engaging way&lt;br&gt;     * Ability for rapid prototyping in Tableau&lt;br&gt;     * Data Science experience in R, Python is a plus&lt;br&gt;     * Intensive, recent experience in assessing and sourcing data needs&lt;br&gt;     * Strong familiarity and experience with data preparation and processing - such as assessment of data quality, new variable creation, variable selection, etc. Detailed orientation and a commitment to innovation&lt;p&gt;Skill Requirements&lt;br&gt;     * Strong interpersonal and communication skills, ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives&lt;br&gt;     * Ability to build trust-based relationships&lt;br&gt;     * Strong aptitude for technical concepts and ideas&lt;br&gt;     * Ability to work well within deadlines&lt;br&gt;     * Executive presence and presentation skills&lt;br&gt;     * Strong written and oral communication skills&lt;br&gt;     * Understanding &quot;deep data&quot; environments, ideally with a Merchant mindset&lt;br&gt;     * High achievement orientation with ability to lead and motivate others around results&lt;br&gt;     * Strong presence and ability to convey complex information clearly&lt;br&gt;     * Proven progressive leadership, management, execution, coaching, and influencing skills&lt;br&gt;     * Strategic thinker with proven ability to execute a change agenda&lt;p&gt;JPMorgan Chase &amp; Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&#x27;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;br&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

JPM Payments - Merchant Services - SMB Operations Revenue Operations Data Scientist - VP

JPM Payments - Merchant Services - Global SMB Revenue Operations Data Scientist - VP

Corporate Banking Technology is hiring a multi-skilled technologist to lead and build out our tech stack across Digital Marketing, Marketing Automation, Sales Enablement and Client Experience domains. We&#x27;re looking for a machine learning engineer to identify insights from our data to drive business strategy and tactics. The successful candidate will apply data analytics techniques from both traditional statistics and machine learning to a combination of third party, publicly available and J.P. Morgan proprietary datasets, with the goal of answering business questions.&lt;p&gt;Responsibilities&lt;p&gt; Research and develop innovative ML based solutions to some of Client Experience&#x27;s hardest problems&lt;p&gt; Understand the Client Experience journey to formulate relevant high impact business questions that can be answered through data analysis.&lt;p&gt; Work on building robust Data Science capabilities which can be scalable across multiple business use cases.&lt;p&gt; Collaborate with Tech partners to design and deploy Machine Learning services that can be integrated with strategic systems.&lt;p&gt; Think strategically to leverage reusable components within the firm and state of the art available externally when building the capabilities.&lt;p&gt; Research and analyse data sets using a variety of statistical and machine learning techniques.&lt;p&gt; Communicate final results and give context.&lt;p&gt; Document approach and techniques used.&lt;p&gt;Qualifications&lt;p&gt; Bachelors or Master&#x27;s degree in Analytics, Computer Science or Technology-related discipline&lt;p&gt; Minimum of 6 years of Software or Data Engineering experience&lt;p&gt; Previous experience with Deep Neural Network packages (examples: TensorFlow, Theano, PyTorch, Keras).&lt;p&gt; Experience with big-data technologies such as Hadoop, Spark, SparkML, etc.&lt;p&gt; Hands-on experience developing and deploying Data Science and ML capabilities in production at scale.&lt;p&gt; Strong ability to develop and debug in Python or similar professional programming language.&lt;p&gt; Should be able to work both individually and collaboratively in teams, in order to achieve project goals.&lt;p&gt; Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems.&lt;p&gt; Experience with Natural Language Processing (NLP).&lt;p&gt; Able to be results and client focused and follow the agile development paradigm.&lt;p&gt; Able to design or evaluate intrinsic and extrinsic metrics of your model&#x27;s performance which are aligned with business goals.&lt;p&gt; Able to independently research and propose alternatives with some guidance as to problem relevance.&lt;p&gt; Able to work with non-specialists in a partnership model, conveys information clearly and creates a sense of trust with stakeholders.&lt;p&gt; Strong experience with machine learning APIs and computational packages (examples: Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).&lt;p&gt;JPMorgan Chase &amp; Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&#x27;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Machine Learning & Data Engineer

Data Scientist VP - CIB Wholesale Payments Data and Analytics&lt;p&gt;J.P. Morgan&#x27;s Corporate &amp; Investment Bank (CIB) is a global leader in Banking. The world&#x27;s corporations, governments and institutions entrust us with their business in more than 100 countries. The Corporate &amp; Investment Bank supports our clients around the world providing strategic advice, raising capital and managing risk.&lt;p&gt;J.P. Morgan Wholesale Payments is one of the world&#x27;s largest providers of treasury management and merchant services. Wholesale Payments sits at the intersection of finance and technology and is one of the largest players (processing $6 trillion of payments a day) in an industry undergoing a major transformation. J.P. Morgan&#x27;s TS business is a full-service provider of innovative cash management, trade, liquidity, commercial card, and escrow services - specifically developed to meet the challenges treasury professionals face today. More than 135,000 corporations, financial institutions, governments and municipalities in over 180 countries and territories entrust their business to J.P. Morgan.&lt;p&gt;As a data scientist with the Wholesale Payments Data and Analytics team, you would be responsible for defining and executing the multi-year analytics strategy for optimizing payment performance on an emerging platform with extensive capabilities. You would be responsible for defining the optimization capabilities required of this new platform and doing the analysis to support your ideas to technical and product partners. We are a new and rapidly growing team of change agents inside J.P. Morgan. We are data scientists, design strategists, and business leaders creating and building data products that transform the way we and our clients do business - balancing the art of decision making with science. What we build matters and will have huge impact; our products and solutions will reach thousands of our clients around the world, and affect how J.P. Morgan does business, moving trillions of dollars a day.&lt;p&gt;New technologies, analytics and business models are emerging with the potential to radically transform financial services. You will be at the leading edge inside the company driving change.&lt;p&gt;You will:&lt;br&gt;     * Develop, plan and execute analytical projects showing what capabilities need to be prioritized in order to rapidly optimize payment performance of our clients.&lt;br&gt;     * Articulate those capabilities and work with tech partners to determine how best to implement those capabilities in this platform.&lt;br&gt;     * Bring order to disparate requirements with high tolerance for ambiguity, very strong problem solving ability, and excellent client engagement skills&lt;br&gt;     * Be a data storyteller, deliver practical data insights in a compelling manner to senior leadership. Articulate findings clearly and concisely including presentations, discussions and visualizations.&lt;br&gt;     * Work well with a variety of teams to help deliver the actual platform capabilities&lt;p&gt;Qualifications&lt;p&gt;Who you are&lt;br&gt;     * Payments background - extensive experience in payments on either the PSP or merchant side.&lt;br&gt;     * Quantitative background -Advanced Degree in analytical field (e.g. econometrics, statistics, engineering, mathematics, computer science). 5+ year&#x27;s relevant experience. Expertise in data mining, quantitative research techniques, theories, principles, and practices. Understanding of statistics, optimization and machine learning methodologies&lt;br&gt;     * Deep experience across the full range of database and business intelligence tools especially SQL on Hadoop (Hive, Impala, Spark), Python and ability for rapid prototyping in Tableau; publishing and presenting information in an engaging way. Understanding of algorithms and software engineering fundamentals.&lt;br&gt;     * Analytical thought leader - You can define the analytical agenda for projects, frame ambiguous business questions into analytical plans (e.g., assess data needs, source files, prepare data, create new features, evaluate quality, etc.), and execute.&lt;br&gt;     * Cognitive and Communications Skill - Highly articulate, built upon an underlying fundamental clarity of thought. General ability to root out fundamental issues, bring order from chaos, synthesize elegant insights, and drive to clear decisions.&lt;br&gt;     * Leadership - Primary focus of building something of significance. Willingness to roll up sleeves and do whatever it takes. Self-confidence, poise, and personal presence that inspires confidence in others. Charisma, gravitas, intellect, flexibility, and integrity that motivates others to trust, collaborate, and follow&lt;p&gt;JPMorgan Chase &amp; Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&#x27;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Wholesale Payments Data and Analytics - Data Scientist Lead, VP

J.P. Morgan Payments sits at the intersection of finance and technology and is one of the largest players (processing $6 trillion of payments a day) in an industry undergoing a major transformation. We are focused on supporting transformational technologies and business model shifts such as e-commerce marketplaces and B2B2C platforms, digital wallets, virtual accounts, embedded banking, Liink and JPM Coin, as well as serving the payments and value-added service needs of small businesses. These market opportunities have us not only competing with our traditional global banking rivals, but also increasingly with fintechs and big tech where we target new buying centers and need to influence end-users.&lt;p&gt;The JPM Payments Marketing Analytics team is responsible for measuring the effectiveness and driving the strategy of Payments marketing as the business evolves and our competitive set expands. As a data scientist on the Payments Marketing Analytics team, you will:&lt;br&gt;     * Build and deploy multi-touch attribution models to improve valuations of marketing investment and optimize spend across channels;&lt;br&gt;     * Utilize statistical and ML models to analyze how the sequence of touches (webinars, events, social, etc.) can be optimized to improve engagement and conversion;&lt;br&gt;     * Train and validate lead scoring models based on both explicit data (what leads share directly) and implicit data (how a lead interacts with various content marketing efforts);&lt;br&gt;     * Develop robust CLTV models with deep segmentation (LOB, client size, product type, sub-product, and industry) to support ROMI analysis;&lt;br&gt;     * Own automation of marketing reporting using Alteryx and Tableau;&lt;br&gt;     * Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with marketing problems.&lt;p&gt;Minimum Qualifications:&lt;br&gt;     * 7+ years of relevant work experience in B2B marketing analytics and campaign performance measurement/optimization, including knowledge of Adobe Analytics, Marketo, Google Analytics, and similar platforms/tools;&lt;br&gt;     * Alteryx Advanced or Expert Certification (required);&lt;br&gt;     * 3+ years of experience using Alteryx and Tableau for business analytics and reporting;&lt;br&gt;     * 5+ years of experience applying ML and advanced statistical modeling (e.g., classification, regression, clustering, time series forecasting, collaborative filtering, etc.) in a marketing context;&lt;br&gt;     * Advanced knowledge of SQL and either Python or R;&lt;br&gt;     * Bachelor&#x27;s or Master&#x27;s degree in a quantitative discipline (e.g., data science/analytics, mathematics, statistics, engineering or finance).&lt;p&gt;Candidates who will be successful in this role will be:&lt;br&gt;     * Excellent at solving unstructured problems independently;&lt;br&gt;     * Highly organized and able to prioritize multiple tasks;&lt;br&gt;     * Able to articulate findings and deliver practical data insights in a compelling manner to senior leadership;&lt;br&gt;     * Intellectually curious and eager to learn new things with an eye towards innovation.&lt;p&gt;JPMorgan Chase &amp; Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&#x27;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

The VP Data Scientist is an individual contributor who should be able to apply quantitative, data science and analytical skills to complex problems. He/she should be able to work across teams to design, develop, and evaluate and execute against those data science and analytical solutions with a keen functional understanding of the business problem. He/she will be responsible for data wrangling, data analysis, modeling, including model selection and producing quick applicable modeling solutions.&lt;p&gt;The position will serve as a thought leader including advising on optimal solutions and opining on challenger models. The role works on strategic, highly visible projects firm wide. It is an opportunity to have meaningful impact on a large scale at a leading financial services firm. The role will develop data-centric solutions that move the bottom line for the firm.&lt;p&gt;In Corporate Technology Machine Learning at JPMorgan Chase, our role involves solving challenging business problems through data science and machine learning techniques across corporate functions, including Risk, Compliance, Finance, HR, Legal, and Audit.&lt;p&gt;This role requires a wide variety of strengths and capabilities, including:&lt;br&gt;     * Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)&lt;br&gt;     * Extensive practical expertise and work experience with Machine Learning, both supervised and unsupervised. Deep Learning (neural network) experience is preferred&lt;br&gt;     * Experience across broad range of modern analytic and data tools, particularly Python/Anaconda and/or R, XGBoost, Tensorflow and/or Keras, Spark, Hive, SQL&lt;br&gt;     * Experience working with engineering teams to operationalize Machine Learning models&lt;br&gt;     * Excellent problem solving, communications, and teamwork skills&lt;br&gt;     * Financial service background preferred, but not required&lt;p&gt;JPMorgan Chase &amp; Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&#x27;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Data Scientist Jobs in Plano