Chief Data Insights Officer
7 days ago
As a Senior Manager Data Scientist at Capital One, you will be part of a dynamic team leading the next wave of disruption in data-driven decision making. Leveraging cutting-edge technologies and operating across billions of customer records, you will play a crucial role in unlocking big opportunities that help everyday people save money, time, and agony in their financial lives.
About Us
Capital One is a Fortune 200 company and a leader in the world of data-driven decision making. Our passion for data has taken us from disrupting the credit card industry to becoming a household name. As a startup, we pioneered the use of statistical modeling and relational databases to personalize every credit card offer, revolutionizing the industry in 1988. Today, we continue to innovate and push the boundaries of what is possible with data science.
About the Role
This is an exciting opportunity to join our team as a Senior Manager Data Scientist and contribute to shaping the future of data-driven decision making. In this role, you will partner with cross-functional teams to deliver products customers love, leveraging a broad stack of technologies including Python, Conda, AWS, H2O, Spark, and more. You will build machine learning models through all phases of development, from design to implementation, and flex your interpersonal skills to translate complex work into tangible business goals.
The Ideal Candidate
- You are customer-first and passionate about doing the right thing, knowing that at the end of the day it's about making the right decision for our customers.
- You are innovative, continually researching and evaluating emerging technologies, staying current on published state-of-the-art methods, technologies, and applications.
- You are creative, thriving on bringing definition to big, undefined problems, asking questions, and pushing hard to find answers.
- You are a leader, challenging conventional thinking, working with stakeholders to identify and improve the status quo, and passionate about talent development for your own team and beyond.
- You are technical, comfortable with open-source languages, and passionate about developing further, with hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- You are statistically-minded, having built models, validated them, and backtested them, interpreting confusion matrices or ROC curves, and experienced in clustering, classification, sentiment analysis, time series, and deep learning.
- You are a data guru, not intimidated by big data, skilled in retrieving, combining, and analyzing data from various sources and structures, understanding that understanding the data is often the key to great data science.
Basic Qualifications
- Currently has, or is in the process of obtaining a Bachelor's Degree plus 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus 2 years of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 3 years' experience in open source programming languages for large-scale data analysis.
- At least 3 years' experience with machine learning.
- At least 3 years' experience with relational databases.
Preferred Qualifications
- PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics.
- At least 1 year of experience working with AWS.
- At least 1 year of experience managing people.
- At least 5 years' experience in Python, Scala, or R for large-scale data analysis.
- At least 5 years' experience with machine learning.
What We Offer
Candidates hired for this role will be eligible for a minimum annual salary of $234,700 - $267,900, depending on location. This role also offers 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.
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