Manager Data Science

Manager Data Science Manager, Data Scientist, Representation Learning for Customer Protection Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description: The Retail Bank Customer Protection Data Science team has a relentless focus on innovation with a passion for improving customer experiences around fraud prevention. Detecting and preventing fraud behaviors as early as possible helps keep customer funds secure and enables the Bank to grow with confidence. Our team is constantly investing to improve and complement existing model-based defenses with the latest and greatest techniques from industry and academia. We often design features using SQL, python, and spark, and train models using a variety of python-centric modeling libraries. Data scientists often lead the deployment of these models in batch and event-based environments, and may additionally partner with engineering teams for deployments that interface with other real-time systems. The team is focused on giving our millions of customers comfort to know that their account is protected from attempts to take it over. Role Description: In this role, you will: Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, Kubernetes, and more to build sequence models to detect fraud risk using deep learning techniques like transformers, LSTMs, and embeddings of tabular data. Connect your deep technical modeling expertise to the pressing business goals of our fraud prevention strategy partners to create exciting solutions to demanding challenges. Provide the engine to a research agenda with business opportunities at its heart. Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry leading fraud defenses. Pilot machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. The Ideal Candidate is: Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Basic Qualifications: Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date. At least 2 years’ experience in open source programming languages for large scale data analysis. At least 2 years’ experience with machine learning. At least 2 years’ experience with relational databases. Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics. At least 1 year of experience working with AWS. At least 4 years’ experience in Python for large scale data analysis. At least 4 years’ experience with machine learning and specifically deep learning sequence modeling architectures. At least 4 years’ experience with SQL. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Mgr, Data Science Richmond, VA: $175,800 - $200,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. #J-18808-Ljbffr Capital One National Association