Hispanic Technology Executive Council
Director, Data Scientist - Marketing Intelligence
Hispanic Technology Executive Council, Mc Lean, Virginia, us, 22107
Director, Data Scientist - Marketing Intelligence 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.
The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.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 Marketing Data Science team, within the Card organization, is working to enable a revolution in marketing through the use of data science and machine learning. The vast amount of data, variety of quickly-evolving marketing channels, and hunger for analytics all intersect to make Capital One's marketing space a target-rich environment for optimization through data science and machine learning. We use a full spectrum of data science and machine learning techniques to solve unique marketing challenges, and our growing team is just scratching the surface of what we can do.In this role, you will:Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data.Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.Flex your interpersonal skills to translate the complexity of your work into tangible business goals.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.Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.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.Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.Basic Qualifications:Currently has, or is in the process of obtaining a Bachelor's Degree plus 9 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 7 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus 4 years of experience in data analytics.At least 4 years of experience in open-source programming languages for large-scale data analysis.At least 4 years of experience with machine learning.At least 4 years of experience with relational databases.Preferred Qualifications:PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics.At least 1 year of experience working with AWS.At least 2 years of experience working in the Marketing space.At least 3 years of experience managing people.At least 5 years of experience in Python, Scala, or R for large-scale data analysis.At least 5 years of experience with machine learning.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.New York City (Hybrid On-Site): $274,800 - $313,600 for Dir, Data Science.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.
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The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.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 Marketing Data Science team, within the Card organization, is working to enable a revolution in marketing through the use of data science and machine learning. The vast amount of data, variety of quickly-evolving marketing channels, and hunger for analytics all intersect to make Capital One's marketing space a target-rich environment for optimization through data science and machine learning. We use a full spectrum of data science and machine learning techniques to solve unique marketing challenges, and our growing team is just scratching the surface of what we can do.In this role, you will:Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data.Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.Flex your interpersonal skills to translate the complexity of your work into tangible business goals.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.Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.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.Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.Basic Qualifications:Currently has, or is in the process of obtaining a Bachelor's Degree plus 9 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 7 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus 4 years of experience in data analytics.At least 4 years of experience in open-source programming languages for large-scale data analysis.At least 4 years of experience with machine learning.At least 4 years of experience with relational databases.Preferred Qualifications:PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics.At least 1 year of experience working with AWS.At least 2 years of experience working in the Marketing space.At least 3 years of experience managing people.At least 5 years of experience in Python, Scala, or R for large-scale data analysis.At least 5 years of experience with machine learning.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.New York City (Hybrid On-Site): $274,800 - $313,600 for Dir, Data Science.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.
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