&lt;h2&gt;&lt;strong&gt;The Role&lt;/strong&gt;&lt;/h2&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;As a Data Scientist at Striveworks you’ll be challenged—and trusted—on day one to be a core contributor to the projects and direction of the company.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;You’re right for this challenge if you value and possess technical expertise and you push the boundaries of your own capabilities. In this mission-critical work, you will select and design analytics within a vertically integrated system that spans from sensor to platform to end user. You will train, deploy, and refine machine learning models tailored to the customer’s needs. You will implement and extend a diverse set of algorithms. Our mission is focused on task automation, data analytics, deep learning, computer vision, and natural language processing.&lt;/p&gt;
&lt;p&gt;The anticipated base pay range for this position is $190,000–$240,000/year. In addition to base pay Striveworks offers annual performance-based equity paired with a lucrative cash bonus, as well as a full benefits suite.&lt;/p&gt;
&lt;h2&gt;&lt;strong&gt;The Right Fit&lt;/strong&gt;&lt;/h2&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We spend a lot of time in our hiring process talking about shared values. Why? We passionately believe that fostering an environment where people can self-actualize and pursue greatness is the best way to achieve our individual and collective goals. What does this mean? We want an environment where you persevere relentlessly to achieve your goals. You know the team has the same goals as you, and you make and accept decisions for the team with humility. Your say/do ratio is 1. You know that there is no smartest person in the room. Make sense? We’re already on the same page.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Here’s what else we’re looking for:&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Mastery of Python&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Ability to design, implement, and document scalable code&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Deep understanding and intuition around machine learning techniques, statistical, and predictive modelling&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Ability to communicate results with visualizations&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Driven, self-directed personality&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Strong sense of mission and commitment to making a difference&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;2+ years relevant experience and/or B.S. degree in related discipline&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Active Top Secret Security Clearance&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;&amp;nbsp;&lt;/h2&gt;
&lt;h2&gt;&lt;strong&gt;The Wish List&lt;/strong&gt;&lt;/h2&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We’re very interested in Data Scientists who possess the above qualifications, and heavily appreciate and consider the addition of:&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Knowledge of data pipelines&lt;br&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;Experience with PyTorch, TensorFlow, or similar frameworks&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Advanced (MS or PhD) degrees in mathematics, physics, statistics, machine learning, or related quantitative disciplines&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;&amp;nbsp;&lt;/h2&gt;
&lt;h2&gt;&lt;strong&gt;The Tech Stack&lt;/strong&gt;&lt;/h2&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We believe in constant curiosity and peer-driven learning. As a Data Scientist at Striveworks, you’ll have access to our growing learning library, learn about—or present—the latest research at our weekly journal club, participate in open-source projects, and take part in pair programming. Find some of our public projects at github.com/Striveworks. You’ll be able to grow your skills in:&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;PyTorch&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;GoLang&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Python&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Javascript&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Kubernetes&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;&amp;nbsp;&lt;/h2&gt;
&lt;h2&gt;&lt;strong&gt;The Benefits&lt;/strong&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Top-of-market salary and total compensation&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Generous equity plan&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Health/vision/dental insurance&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Flexible PTO&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Childcare leave&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;&lt;strong&gt;Striveworks: Better Models, Faster&lt;/strong&gt;&lt;/h2&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;The world’s looked to data analytics to bridge the gap between floods of data and the struggle to use that data effectively to make timely, impactful decisions. Today, most organizations are awash in analytics that “aren’t quite right”—models that were developed too generally, or too slowly, to be effective in dynamic, fast-paced environments. Striveworks is simplifying ModelOps with a powerful and extensible platform that instantiates the data analytic process as code.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Striveworks is trusted by leading Fortune 500 firms as well as leaders in the public sector to be their primary solution for managing model development, monitoring, and governance—and ensuring those models solve the real challenges their organizations face.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Striveworks’ Chariot platform enables users to turn their own production data into models and turn models into production systems. Uniquely, as you train, test, deploy, and use models, our lineage system enables you to track not only the “upstream” provenance of model and data sources, but also the “downstream” usage of the resultant model inferences. Combining this with a highly principled experience for data and model development, Chariot gives our customers in highly regulated industries an unmatched governance solution over the top of a performant ModelOps platform. &lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion or belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Striveworks will not tolerate discrimination or harassment of any kind.&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Striveworks is a participating employer in the E-Verify program.&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;

Data Scientist

&lt;div class=&quot;content-intro&quot;&gt;&lt;div&gt;&lt;strong&gt;&lt;strong&gt;Join our team dedicated to developing and executing innovative solutions in support of customer mission success. Novetta is committed to cultivating a diverse, inclusive workplace culture, embracing our differences and perspectives to build a stronger, more successful company.&lt;/strong&gt;&lt;/strong&gt;&lt;hr&gt;&lt;/div&gt;&lt;/div&gt;&lt;p&gt;&lt;strong&gt;Job Description:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Novetta is seeking a Machine Learning Engineer to contribute to the modeling process from problem definition, through data pipeline and model implementation; applying agile methods to ML development activities. They will work as part of a multi-disciplinary team and will impact multiple projects concurrently.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;DoD is shifting investment into the future of machine learning and artificial intelligence across the Defense Intelligence Enterprise to reimagine and revolutionize the intelligence process. In order to achieve this, Training Quality Data (TQD) must be harvested from current data holdings, data gaps must be characterized into targeting/collection requirements and synthetic data must be generated.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Responsibilities:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Identify important and interesting questions surrounding our customer&#x27;s challenges, then translate those questions into concrete analytical tasks;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Develop strategies to extract, resolve, and unify information of various types from numerous data sources;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Organize and mine massive data sets of both structured and unstructured data;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Provide thought-leadership in the areas of machine learning, artificial intelligence, analytics and data science;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Work with a diverse team of engineers, computer scientists, data scientist and analysts.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Basic Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Academic degree in a relevant field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Physics, etc.);&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Detailed experience with open source frameworks for Neural Network architectures including Keras, TensorFlow, PyTorch, or Caffe;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Detailed experience and understanding of Machine Learning methods and frameworks including ensemble methods&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience implementing various types of Neural Networks including Convolutional Neural Networks and/or Recurrent Neural Networks&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Desired Skills:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience with intelligence analysis mission sets.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Familiarity with network analysis, natural language processing, and/or risk modeling.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience with FMA programs, analyzing supply chain data, or processing real time data feeds to produce actionable results.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Security Clearance:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Must have an active US Government Secret security clearance.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;hr&gt;
&lt;p&gt;&lt;strong&gt;Novetta, from complexity to clarity.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Novetta delivers highly scalable advanced analytics and secure technology solutions to address challenges of national and global significance. Focused on mission success, Novetta pioneers disruptive technologies &lt;/span&gt;&lt;/em&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;in machine learning, data analytics, full-spectrum cyber, cloud engineering, open source analytics, and multi-INT fusion&lt;/span&gt;&lt;/em&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; for &lt;/span&gt;&lt;/em&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Defense, Intelligence Community, and Federal Law Enforcement customers. Novetta is headquartered in McLean, VA with over 1,300 employees across the U.S.&lt;/span&gt;&lt;/em&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Our culture is shaped by a commitment to our core values:&lt;/strong&gt;&lt;/p&gt;
&lt;p style=&quot;padding-left: 40px;&quot;&gt;&lt;strong&gt;Integrity • &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We hold ourselves accountable to the highest standards of integrity and ethics.&lt;/span&gt;&lt;/p&gt;
&lt;p style=&quot;padding-left: 40px;&quot;&gt;&lt;strong&gt;Customer Success • &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We strive daily to exceed expectations and achieve customer mission success.&lt;/span&gt;&lt;/p&gt;
&lt;p style=&quot;padding-left: 40px;&quot;&gt;&lt;strong&gt;Employee Focus • &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We invest in our employees’ professional development and training, respecting individuality, and fostering a culture of diversity and inclusion.&lt;/span&gt;&lt;/p&gt;
&lt;p style=&quot;padding-left: 40px;&quot;&gt;&lt;strong&gt;Innovation • &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We know that discovering new and innovative ways to solve problems is critical to our success and makes us a great company.&lt;/span&gt;&lt;/p&gt;
&lt;p style=&quot;padding-left: 40px;&quot;&gt;&lt;strong&gt;Excellence in Execution •&lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; We take pride in flawless execution as we build a company that is best in class.&lt;/span&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;&lt;strong&gt;Earn a REFERRAL BONUS for the qualified people you know.&amp;nbsp;&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;For more details or to submit a referral, visit &lt;/span&gt;&lt;a href=&quot;http://bit.ly/NovettaReferrals&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;bit.ly/NovettaReferrals.&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;&lt;strong&gt;Novetta is an equal opportunity/affirmative action employer.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.&lt;/span&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;&lt;strong&gt;The health and safety of our employees is a priority for Novetta. &lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Please be aware that Novetta requires all employees to be fully vaccinated as a condition of employment. Novetta will consider requests for medical or religious accommodation to this vaccination requirement during the recruiting process.&lt;/p&gt;&lt;/div&gt;

Machine Learning Engineer

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world&#x27;s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.&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 Corporate &amp; Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world&#x27;s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.&lt;p&gt;CIB Wholesale Payment Technology - Global Payment Guardian - Machine Learning Engineer&lt;p&gt;Global Payment Guardian is Wholesale Payment&#x27;s world class fraud screening application. We are is currently in need of a Data Scientist/Machine Learning engineer to join our fast-growing team. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is a great opportunity for the successful candidate to become a part of an innovative team that analyzes data to develop tools to help fight payment fraud for our clients.&lt;p&gt;Responsibilities&lt;p&gt; Collaborate with business, operations and other technology colleagues to understand company needs and devise possible solutions&lt;p&gt; Research and analyze data sets using a variety of statistical and machine learning techniques&lt;p&gt; Communicate results and ideas to key decision makers&lt;p&gt; Document approach and techniques used&lt;p&gt; Work on longer term projects, building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases&lt;p&gt; Collaborate with other J.P. Morgan machine learning teams&lt;p&gt; Keep up-to-date with latest technology trends&lt;p&gt;Required Technical Qualifications and experience&lt;p&gt; MS or PhD in a Data Science or related discipline, e.g. Computer Science, Applied Mathematics, Statistics, Physics, Artificial Intelligence&lt;p&gt; Advanced data mining and EDA (Exploratory Data Analysis) skills&lt;p&gt; Strong ability to develop and debug in Python (must) and Java (would be a plus)&lt;p&gt; 3+ years experience with machine learning APIs and computational packages (examples: TensorFlow, LightGBM, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, H2O, SHAP, Catboost)&lt;p&gt; Good experience with model explainability&lt;p&gt; 5 + years of experience with big-data technologies such as Hadoop, Spark, SparkML, etc&lt;p&gt; Able to understand various data structures and common methods in data transformation&lt;p&gt; Excellent pattern recognition and predictive modeling skills&lt;p&gt; Experience with large imbalanced datasets&lt;p&gt;Other experience and qualifications&lt;p&gt; Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems&lt;p&gt; Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model&#x27;s performance which are aligned with business goals&lt;p&gt; Must be able to independently research and propose alternatives with some guidance as to problem relevance&lt;p&gt; Experience with fraud detection&lt;p&gt; Should be able to work both individually and collaboratively in teams, in order to achieve project goals&lt;p&gt; Able to work with non-specialists in a partnership model, conveys information clearly and creates a sense of trust with stakeholder&lt;p&gt; Ensures re-use and sharing of ideas within team and locale&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 Engineer, VP - CIB Wholesale Payment Technology - Global Payment Guardian

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world&#x27;s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.&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 Corporate &amp; Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world&#x27;s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.&lt;p&gt;CIB Wholesale Payment Technology - Global Payment Guardian - Machine Learning Engineer&lt;p&gt;Global Payment Guardian is Wholesale Payment&#x27;s world class fraud screening application. We are is currently in need of a Data Scientist/Machine Learning engineer to join our fast-growing team. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is a great opportunity for the successful candidate to become a part of an innovative team that analyzes data to develop tools to help fight payment fraud for our clients.&lt;p&gt;Responsibilities&lt;p&gt; Collaborate with business, operations and other technology colleagues to understand company needs and devise possible solutions&lt;p&gt; Research and analyze data sets using a variety of statistical and machine learning techniques&lt;p&gt; Communicate results and ideas to key decision makers&lt;p&gt; Document approach and techniques used&lt;p&gt; Work on longer term projects, building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases&lt;p&gt; Collaborate with other J.P. Morgan machine learning teams&lt;p&gt; Keep up-to-date with latest technology trends&lt;p&gt;Required Technical Qualifications and experience&lt;p&gt; MS or PhD in a Data Science or related discipline, e.g. Computer Science, Applied Mathematics, Statistics, Physics, Artificial Intelligence&lt;p&gt; Advanced data mining and EDA (Exploratory Data Analysis) skills&lt;p&gt; Strong ability to develop and debug in Python (must) and Java (would be a plus)&lt;p&gt; 3+ years experience with machine learning APIs and computational packages (examples: TensorFlow, LightGBM, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, H2O, SHAP, Catboost)&lt;p&gt; Good experience with model explainability&lt;p&gt; 5 + years of experience with big-data technologies such as Hadoop, Spark, SparkML, etc&lt;p&gt; Able to understand various data structures and common methods in data transformation&lt;p&gt; Excellent pattern recognition and predictive modeling skills&lt;p&gt; Experience with large imbalanced datasets&lt;p&gt;Other experience and qualifications&lt;p&gt; Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems&lt;p&gt; Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model&#x27;s performance which are aligned with business goals&lt;p&gt; Must be able to independently research and propose alternatives with some guidance as to problem relevance&lt;p&gt; Experience with fraud detection&lt;p&gt; Should be able to work both individually and collaboratively in teams, in order to achieve project goals&lt;p&gt; Able to work with non-specialists in a partnership model, conveys information clearly and creates a sense of trust with stakeholder&lt;p&gt; Ensures re-use and sharing of ideas within team and localeJPMorgan 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;

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world&#x27;s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.&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 Corporate &amp; Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world&#x27;s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.&lt;p&gt;The Global Payment Guardian is Wholesale Payment&#x27;s world class fraud screening application. We are is currently in need of a Machine Learning Engineer, VP to join our fast-growing team. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches. This is a great opportunity for the successful candidate to become a part of an innovative team that analyzes data to develop tools to help fight payment fraud for our clients.&lt;p&gt;Responsibilities&lt;p&gt; Collaborate with business, operations and other technology colleagues to understand company needs and devise possible solutions&lt;p&gt; Research and analyze data sets using a variety of statistical and machine learning techniques&lt;p&gt; Communicate results and ideas to key decision makers&lt;p&gt; Document approach and techniques used&lt;p&gt; Work on longer term projects, building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases&lt;p&gt; Collaborate with other J.P. Morgan machine learning teams&lt;p&gt; Keep up-to-date with latest technology trends&lt;p&gt;Required Technical Qualifications and experience&lt;p&gt; MS or PhD in a Data Science or related discipline, e.g. Computer Science, Applied Mathematics, Statistics, Physics, Artificial Intelligence&lt;p&gt; Advanced data mining and EDA (Exploratory Data Analysis) skills&lt;p&gt; Strong ability to develop and debug in Python (must) and Java (would be a plus)&lt;p&gt; 3+ years experience with machine learning APIs and computational packages (examples: TensorFlow, LightGBM, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, H2O, SHAP, Catboost)&lt;p&gt; Good experience with model explainability&lt;p&gt; 5 + years of experience with big-data technologies such as Hadoop, Spark, SparkML, etc&lt;p&gt; Able to understand various data structures and common methods in data transformation&lt;p&gt; Excellent pattern recognition and predictive modeling skills&lt;p&gt; Experience with large imbalanced datasets&lt;p&gt;Other experience and qualifications&lt;p&gt; Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems&lt;p&gt; Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model&#x27;s performance which are aligned with business goals&lt;p&gt; Must be able to independently research and propose alternatives with some guidance as to problem relevance&lt;p&gt; Experience with fraud detection&lt;p&gt; Should be able to work both individually and collaboratively in teams, in order to achieve project goals&lt;p&gt; Able to work with non-specialists in a partnership model, conveys information clearly and creates a sense of trust with stakeholder&lt;p&gt; Ensures re-use and sharing of ideas within team and localeJPMorgan 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, VP

&lt;p&gt;&lt;strong&gt;About BlueGranite&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;BlueGranite’s mission is to help our clients harness the value of data, improving business outcomes with modern analytics solutions. We believe in the infinite possibilities of data, and the opportunity for analytics to empower stakeholders, improve operations, uncover opportunities, and reduce risk. Our high performing culture and commitment to being a world-class organization enables us to serve our clients as their strategic, trusted advisor.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Founded in 1996, BlueGranite is headquartered in Kalamazoo, MI, and has organically grown with team members across the U.S. BlueGranite has won numerous Partner of the Year Awards with Microsoft and was recently awarded a Great Place to Work certification for the fourth year in a row. Our team includes data architects, BI professionals, and data scientists that have a passion for our clients and the opportunity to create that “ah ha” moment with modern analytics.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the Role&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Our Solution Architect team members are hands-on data professionals, building and deploying modern analytics solutions that address our clients’ needs to uncover insights, improve decision making, and enable digital transformation strategies. We look for high performers who are self-motivated and ready to collaborate and engage with their team. Typical backgrounds include a depth of experience in cloud analytics solutions, overseeing aspects of technical delivery, and the ability to work independently. Industry leadership experience in healthcare, financial services, manufacturing, retail, or public sector is a big plus.&lt;/p&gt;
&lt;p&gt;Desired Skills:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;12+ years professional experience with data warehouse or modern data platform solutions featuring SQL Server or Azure&lt;/li&gt;
&lt;li&gt;3+ years of hands-on experience using Azure Data Lake, Azure Data Factory, Azure Databricks, and/or Azure Synapse Analytics&lt;/li&gt;
&lt;li&gt;Experience as the technical leader for modern analytics, modern data warehouse, data lake, or data lake house solutions&lt;/li&gt;
&lt;li&gt;Ability and desire to support pre-sales and marketing efforts outside of hands-on, client related project work&lt;/li&gt;
&lt;li&gt;Experience as a consultant leading client engagements, and helping with pre-sales and QuickStart/POC/Pilot solutions&lt;/li&gt;
&lt;li&gt;Comfortable translating technical solutions into business-specific terms, and effectively communicating ROI&lt;/li&gt;
&lt;li&gt;Self-starter, self-managed, quick learner, problem-solver with a positive, collaborative, and team-based attitude&lt;/li&gt;
&lt;li&gt;Excellent presentation &amp;amp; communication skills with other team members and client senior business &amp;amp; IT stakeholders&lt;/li&gt;
&lt;li&gt;Willingness to coach and mentor others to build their capacity and skills for data/analytics&lt;/li&gt;
&lt;li&gt;Degree in information technology, computer science, business, engineering, or related field&lt;/li&gt;
&lt;li&gt;Ability to work remotely, at a home-office, typically 10% overnight travel to clients across the U.S.&lt;/li&gt;
&lt;li&gt;Authorization to work in the U.S., without the requirement for an employment visa or sponsorship&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;BlueGranite offers competitive salaries in the range of $135,000 to $165,000 for this position depending on aptitude, skillset, and experience, with an emphasis on work life balance.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;We offer a range of benefits including medical insurance, vision insurance, dental insurance, Simple IRA retirement plan, paid maternity leave, paid paternity leave, flexible work schedules and vacation time, plus stipends for home office equipment and connectivity and an annual personal budget for professional development.&lt;/p&gt;
&lt;p&gt;This position is for U.S. based applicants currently residing in (or able to relocate prior to starting) the following states: Arizona, Colorado, Florida, Georgia, Illinois, Indiana, Massachusetts, Michigan, Minnesota, New Hampshire, New York, North Carolina, Ohio, Tennessee, Texas, Virginia, and Washington.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Please note that we are not able to provide sponsorship for student or other employment work visas at this time.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.&lt;/p&gt;

Solution Architect Data/Analytics (Tampa / Remote)

&lt;p&gt;&lt;strong&gt;Nice to meet you.&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Simply put, were a growth firm. Leading companies hire us to help their organizations reach their full potential by putting people first and creating change that matters. How, you ask? We help our clients find and engage new markets &amp; customers, pioneer new ventures, and create new products, services and business models that will transform their organizations.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Who we want.&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;We love passionately curious people who think of themselves as lifelong learners. They are humble, engaging and intelligent. They have strong opinions with open minds. They are proactive and entrepreneurial.&lt;/p&gt;&lt;p&gt;Critical thinking is their sharpest tool, and they fearlessly tackle tough problems. They understand that understanding is a key part of building trust and driving positive outcomes. Thats why they lead with empathymotivating internally and externally, and having the hard conversations when needed.&lt;/p&gt;&lt;p&gt;They believe that teams do it best, and the best outcomes come from hearing perspectives that arent their own. At Three Five Two, we push for everyone to find and use their voice, and respecting each others is non-negotiable.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Whats the Day to Day Role?&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;We are looking for a Data Scientist to help our clients and internal teams interpret and act on their data. You will work alongside diverse teams of passionate strategists, researchers, developers, designers, and marketers to create comprehensive business strategies and digital solutions. Your clients could include SaaS products, startups, Fortune 100 companies, and more.&lt;/p&gt;&lt;p&gt;We are looking for someone with a solid blend of technical aptitude, strategic thinking, and great communication skills.&lt;/p&gt;&lt;br&gt;&lt;p&gt;&lt;strong&gt;Benefits&lt;/strong&gt;&lt;/p&gt;&lt;br&gt;&lt;p&gt;&lt;strong&gt;What You&#x27;ll Get&lt;/strong&gt;&lt;/p&gt;&lt;ul&gt; &lt;li&gt;Freedom: We trust you to do your thing and do it well.&lt;/li&gt; &lt;li&gt;Professional Development: We set aside a training budget because we want to invest in you.&lt;/li&gt; &lt;li&gt;Benefits: Health and dental insurance, employer-match 401K retirement program, PTO policy and more.&lt;/li&gt; &lt;/ul&gt;&lt;p&gt;&lt;strong&gt;A few more important things we as a company support, understand &amp; value:&lt;/strong&gt;&lt;/p&gt;&lt;ul&gt; &lt;li&gt;Black lives matter&lt;/li&gt; &lt;li&gt;Great ideas and talent can come from anywhere&lt;/li&gt; &lt;li&gt;Non-traditional paths are OK&lt;/li&gt; &lt;li&gt;So are traditional ones&lt;/li&gt; &lt;/ul&gt;&lt;p&gt;We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have curiosity, passion, and collaborative spirit, work with us, and lets move the world forward, together.&lt;/p&gt;&lt;p&gt;Three Five Two is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Three Five Two is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Three Five Two are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Three Five Two will not tolerate discrimination or harassment based on any of these characteristics. Three Five Two encourages applicants of all ages. Three Five Two will provide reasonable accommodation to employees who have protected disabilities consistent with local law.&lt;/p&gt;

&lt;p&gt;Data Scientist for Big Data/Machine Learning Application&lt;/p&gt;&lt;br /&gt;&lt;p&gt;SiteZeus is a fast-growing startup disrupting the way growing companies select new locations with&lt;br&gt;Predictive Analytics based on big data and machine learning. We are seeking the best &amp; brightest engineers to join our Product Development team to enhance our award-winning product suite. We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.&lt;/p&gt;&lt;br /&gt;&lt;p&gt;Position Responsibilities&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Implement statistical methods to use for Predictive Analytics&lt;br&gt; Create Models which analyze multiple data sources and make appropriate forecasts (i.e. estimated sales)&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Enhance data collection procedures to build analytic systems&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Perform ad-hoc analysis and present results in a clear manner&lt;br&gt; Help import data from third party data sources&lt;br&gt; Regularly participate in Agile ceremonies including daily scrum, refinement, sprint planning and retrospectives&lt;br&gt; Make suggestions for process improvements consistent with our theme of continual process improvement&lt;br&gt; Provide necessary customer support when asked by providing requested data analysis and resolving issues within the SZ platform&lt;/p&gt;&lt;br /&gt;&lt;p&gt;Skills &amp; Requirements&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Must have a strong desire to provide the best possible user experience to delight customers&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Experience with common data science toolkits (i.e. R, Weka, NumPy, MatLab)&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Excellence in R and R Server is highly desirable&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Must understand different statistical methodologies and good applied statistics skills, such as distributions, statistical testing, regression, etc.&lt;br&gt; Must have experience using machine learning and an excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Helpful to have performed a significant role in creating accurate Predictive Analytics on prior projects using big data&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Advanced degree in Data Science helpful&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Proficiency in using query languages such as SQL&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Good applied statistics skills, such as distributions, statistical testing, regression, and so on&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Great communication skills&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Data-oriented personality&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Must be passionate about continually learning new technologies&lt;br&gt; Must be able to work collaboratively as part of an Agile Scrum Product Team and contribute to discussions on technical design, peer code reviews, and so on&lt;br&gt; Must have a desire to participate in continually improving product development efforts&lt;br&gt; Experience with geospatial data is a big plus&lt;/p&gt;&lt;br /&gt;&lt;p&gt;Technology Stack&lt;/p&gt;&lt;br /&gt;&lt;p&gt; Our web application is a Single Page App currently built with Google Maps, Geospatial data,&lt;br&gt;ASP.NET MVC with C#, HTML5, CSS3, Typescript, Knockout, D3, SQL Server, R, R Server&lt;/p&gt;&lt;br /&gt;&lt;p&gt; We use Azure DevOps to host Git for version control and work items&lt;br&gt; Our application is hosted on Microsoft Azure&lt;/p&gt;

Data Scientist Jobs in Tampa