Senior Director, Data Scientist - US Card
About The Position
The US Card Data Science organization uses customer data to drive business strategy and deliver customer experiences. It builds and deploys data science and machine learning models across the credit card lifecycle, including marketing, acquisitions, underwriting, and fraud prevention. The Senior Director, Data Scientist will turn complex insights into real-world impact by shaping financial products that serve and protect cardholders. The role partners with data scientists, software engineers, and product managers to deliver customer-focused products. It uses technologies such as Python, Conda, AWS, H2O, and Spark to uncover insights in large volumes of numeric and textual data. The position develops machine learning models through design, training, evaluation, validation, and implementation, and translates technical work into tangible business goals.
Requirements
- Bachelor's degree in a quantitative field plus 11 years of experience performing data analytics; or a master's degree in a quantitative field or an MBA with a quantitative concentration plus 9 years of data analytics experience; or a PhD in a quantitative field plus 6 years of data analytics experience.
- At least 6 years of experience leveraging open-source programming languages for large-scale data analysis.
- At least 6 years of experience working with machine learning.
- At least 6 years of experience utilizing relational databases.
- Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Experience building, validating, and backtesting models, and interpreting confusion matrices or ROC curves.
- Experience with clustering, classification, sentiment analysis, time series, and deep learning.
- Ability to retrieve, combine, and analyze data from varied sources and structures.
Nice To Haves
- PhD in a STEM field plus 7 years of experience in data analytics.
- At least 1 year of experience working with AWS.
- At least 4 years of experience managing people.
- At least 6 years of experience using Python, Scala, or R for large-scale data analysis.
- At least 7 years of experience with machine learning.
Responsibilities
- Partner with data scientists, software engineers, and product managers to deliver products customers love.
- Use technologies such as Python, Conda, AWS, H2O, and Spark to uncover insights from large volumes of numeric and textual data.
- Build machine learning models through design, training, evaluation, validation, and implementation.
- Translate the complexity of data science work into tangible business goals.
- Research and evaluate emerging technologies and stay current on state-of-the-art methods, technologies, and applications.
- Challenge conventional thinking and work with stakeholders to identify and improve the status quo.
- Develop talent within the team and beyond.
- Retrieve, combine, and analyze data from a variety of sources and structures.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being.
- Eligibility for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
