&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Credit Karma is a mission-driven company, focused on championing financial progress for our more than 100 million members in the U.S., Canada and U.K.&amp;nbsp; While we&#x27;re best known for pioneering free credit scores, our members turn to us for tips as they work on their&amp;nbsp; financial goals, including helping them monitor their credit, identity monitoring, searching for credit cards, shopping for loans (car, home and personal), and growing their savings* -- all for free. Credit Karma has grown significantly through the years: we&#x27;ve added more than 70 million members in the last five years alone and now have more than 1,100 employees across our offices in Oakland, Charlotte, Los Angeles and London.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;*Banking services provided by MVB Bank, Inc., Member FDIC&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Credit Karma depends upon our users&#x27; trust. Securing and safeguarding our member’s data is the most important factor in ensuring the ongoing success of Credit Karma. With our product offerings now including Credit Karma Money, it’s more important than ever that we continue to build world-class fraud capabilities within our data infrastructure.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What you’ll do:&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;Design, build, evaluate and defend machine learning models to detect various types of fraud, with a focus on protecting our members’ CK Money checking and savings accounts&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Collaborate with business partners to deploy models and create strategies utilizing model results&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Develop and implement metrics to monitor and measure model and strategy performance&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Collaborate with business partners to increase the efficiency and effectiveness of the Fraud Data Science team&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What’s great about the role&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;Collaborate on addressing fascinating, challenging, complex problems to make a meaningful impact on our members’ financial progress.&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;Own the data science aspects of various problems and opportunities&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Work cross functionally (with engineering, fraud strategy, product, and other data science teams) to ensure efficient and effective deployment of your models.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Represent Credit Karma to various partners and/or government bodies&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Maintain compliance with various regulatory schemes&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Minimum Requirements:&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;M.S. &lt;/span&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;in Computer Science, Mathematics, Statistics, Physics or a related quantitative 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;3-5+ years of industrial experience in Data Science, - Machine Learning and related areas&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 statistical understanding of data at scale&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Authoritative knowledge of Python/R and SQL&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience in financial fraud and abuse&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience with banking / finance data&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 business problem solving, communication and collaboration skills&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Preferred Qualifications:&amp;nbsp;&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;Ph.D. in Computer Science, Mathematics, Statistics, Physics or a related quantitative 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;Proficiency in deep learning ML frameworks such as TensorFlow, Torch, etc.&amp;nbsp;&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;Experience with experimentation design and analysis&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Working experience with public cloud platforms (especially GCP), graph models, and/or data-driven strategy design and optimization are all a plus&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;p&gt;&lt;strong&gt;Equal Employment Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Credit Karma is committed to a diverse and inclusive work environment. We believe that such an environment advances long-term professional growth, creates a robust business, and supports our mission of championing financial progress for everyone. We offer generous benefits and perks with a single eye to nourishing an inclusive environment that recognizes the contributions of all and fosters diversity by supporting our internal Employee Resource Groups. We’ve worked hard to build an intensely collaborative and creative environment, a diverse and inclusive employee culture, and the opportunity for professional growth. As part of the Credit Karma team, your voice will be heard, your contributions will matter, and your unique background and experiences will be celebrated.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Credit Karma is also proud to be an Equal Opportunity Employer. We welcome all candidates without regard to race, color, religion, age, marital status, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity or gender expression, national origin, veteran or military status, disability (physical or mental), genetic information, or any other protected characteristic. We prohibit discrimination of any kind and operate in compliance with applicable fair chance or similar ordinances.&lt;br&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;&lt;span class=&quot;il&quot;&gt;COVID&lt;/span&gt;-19 update:&amp;nbsp;&lt;/strong&gt;Protecting the health of our employees and the candidates interested in a career at Credit Karma is our top priority. We appreciate your understanding and being open and flexible with any changes related to our interviewing process. &lt;strong&gt;Moving forward, all new hires are required to be fully vaccinated against COVID-19 and to share proof of that status prior to their first day of onboarding. If you are unable to be vaccinated for medical or religious reasons, we will explore potential reasonable accommodations; however, Credit Karma may not be able to grant such accommodations in all cases.&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Credit Karma is strongly committed to protecting personal data. Please take a look below to review our privacy policies:&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;&lt;a href=&quot;http://www.creditkarma.com/privacy-notice-for-EEA-job-applicants&quot;&gt;GDPR Privacy Policy&lt;/a&gt;&lt;/strong&gt;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;&lt;a href=&quot;https://www.creditkarma.com/about/privacy-notice-for-us-job-applicants&quot; target=&quot;_blank&quot;&gt;California Consumer Privacy Act (CCPA)&lt;/a&gt;&lt;/strong&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;/div&gt;

Senior Fraud Data Scientist II

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Credit Karma is a mission-driven company, focused on championing financial progress for our more than 100 million members in the U.S., Canada and U.K.&amp;nbsp; While we&#x27;re best known for pioneering free credit scores, our members turn to us for tips as they work on their&amp;nbsp; financial goals, including helping them monitor their credit, identity monitoring, searching for credit cards, shopping for loans (car, home and personal), and growing their savings* -- all for free. Credit Karma has grown significantly through the years: we&#x27;ve added more than 70 million members in the last five years alone and now have more than 1,100 employees across our offices in Oakland, Charlotte, Los Angeles and London.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;*Banking services provided by MVB Bank, Inc., Member FDIC&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We are looking for innovative and hands-on Senior Data Scientists to join our effort for helping our members to achieve their financial goals with most relevant financial products and actionable financial recommendations&lt;/span&gt;&lt;/p&gt;
&lt;h2&gt;&lt;strong&gt;What You’ll Do:&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;Partner with colleagues throughout the organization to identify high-impact opportunities to leverage our extensive data to better serve our users&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Responsible for accelerating revenue advancement through disruptive and continuous improvements in various data science models (targeting, approval odds, marketing campaigns, etc.), feature engineering including user profiles and behavior, personalization, etc.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Be a strong contributor in our industry-first data science / machine learning platform for financial institutions, to enable certainty of approval for 100+ million consumers!&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Participate research efforts with other team members to explore the frontiers of Deep Learning, Recommender systems, and other areas, as they apply to Personal Finance&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Represent Data Science in cross functional meetings and reviews. Be able to translate difficult technical subject matter to business partners&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Represent Credit Karma in external forums such as conferences and meetups, and act as an evangelist for CK team in such forums&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;&lt;strong&gt;What’s great about the role:&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;You will work with large scale Machine Learning Models to optimize for Personal Finance Products&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;You will be part of a highly impactful team, who are working on large scale projects that directly impact the business and members&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;You will experience both personal and professional growth as you encourage growth throughout the team&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;&lt;strong&gt;Minimum Basic Requirement:&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;MS in Computer Science, Mathematics, Statistics, Physics or a related quantitative 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;3-5+ years of experience in Data Science, Machine Learning and related areas, ideally in hyper-growth consumer Internet scenarios&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 statistical understanding of data at scale&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Authoritative knowledge of Python/R and SQL&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience with advanced modeling techniques, such as collaborative filtering, matrix factorization, time series analysis, mixed-effect models, etc&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;&lt;strong&gt;Preferred Qualifications:&amp;nbsp;&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;Ph.D. in Computer Science, Mathematics, Statistics, Physics or a related quantitative 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;Proficiency in deep learning ML frameworks such as TensorFlow, Torch, etc&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience with Finance data (credit record data, loan underwriting)&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Ambitious, results oriented, hardworking and creative thinker&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience with techniques in Deep Learning, advanced Recommendations Systems, Search Ranking, and experimentation design and analysis&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience with optimizing business outcomes in hyper-growth Internet companies (predictive science, ad yield management, marketplaces, etc)&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;p&gt;&lt;strong&gt;Equal Employment Opportunity&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Credit Karma is committed to a diverse and inclusive work environment. We believe that such an environment advances long-term professional growth, creates a robust business, and supports our mission of championing financial progress for everyone. We offer generous benefits and perks with a single eye to nourishing an inclusive environment that recognizes the contributions of all and fosters diversity by supporting our internal Employee Resource Groups. We’ve worked hard to build an intensely collaborative and creative environment, a diverse and inclusive employee culture, and the opportunity for professional growth. As part of the Credit Karma team, your voice will be heard, your contributions will matter, and your unique background and experiences will be celebrated.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Credit Karma is also proud to be an Equal Opportunity Employer. We welcome all candidates without regard to race, color, religion, age, marital status, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity or gender expression, national origin, veteran or military status, disability (physical or mental), genetic information, or any other protected characteristic. We prohibit discrimination of any kind and operate in compliance with the San Francisco Fair Chance Ordinance.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;&lt;span class=&quot;il&quot;&gt;COVID&lt;/span&gt;-19 update:&amp;nbsp;&lt;/strong&gt;Protecting the health of our employees and the candidates interested in a career at Credit Karma is our top priority. We appreciate your understanding and being open and flexible with any changes related to our interviewing process.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Credit Karma is strongly committed to protecting personal data. Please take a look below to review our privacy policies:&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;&lt;a href=&quot;http://www.creditkarma.com/privacy-notice-for-EEA-job-applicants&quot;&gt;GDPR Privacy Policy&lt;/a&gt;&lt;/strong&gt;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;&lt;a href=&quot;https://www.creditkarma.com/about/privacy-notice-for-us-job-applicants&quot; target=&quot;_blank&quot;&gt;California Consumer Privacy Act (CCPA)&lt;/a&gt;&lt;/strong&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;/div&gt;

Data Scientist Jobs in Oakland