Job Description
We are building a new team in Citi Ventures Studio to promote the use of technology in reducing bias and delivering more equitable outcomes to communities of color. This team will have a dual focus on inclusive user experience and the role of data in reducing bias and creating equity, and will be a key part of Citi’s Action for Racial Equity initiative. We are looking for a Data Scientist to join this group and help build solutions that empower people and communities of color and establish a center of excellence on technology, data, and racial equity. This role will report to a Senior Data Scientist in Citi Ventures Studio.
How you’ll contribute
- Sit at the intersection between product, engineering, and leadership to inform, influence, support, and execute our product decisions
- Understand and stay up to date on current research in the field of racial equity
- Work on all Studio products including but not limited to City Builder and Worthi to help extract, clean, analyze new data sources and potential new features
- Conduct original research on Studio initiatives including but not limited to Racial Equity and COVID-19 response
- Work within the bank to help find and reduce bias in our products and help define best practices and standards
- Build key data sets to enable deep-dive analyses and machine learning models to drive customer success
- Help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends
- Define, evaluate and report key product metrics
- Create visualizations to represent data for consumption by our Product and Marketing teams
- Participate on a cross-functional team using agile methodologies
- Become a source of knowledge and make recommendations to the greater team and company as a data expert relating to above research
What we’re looking for
- Master’s degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. or equivalent experience
- You have 2+ years of experience working as a Data Scientist on a software team
- Excellent proficiency Python & SQL
- Experienced with packages such as NumPy, SciPy, pandas, scikit-learn, matplotlib
- Hands on experience with medium to large datasets (i.e. data extraction, cleaning, analysis and presentation)
- Experience creating visualizations to explain complex analysis
- Experience with version control systems such as git
- Experience with taking observational data and using models to try to show causal impact (i.e. Causal Inference)
- Some experience with Data Engineering processes (i.e. creating and maintaining data pipelines)
- You have a wide range of experience with statistical tools, machine learning, and big data analysis
- You have excellent written and verbal skills
- You have an entrepreneurial mindset
- You are highly motivated and a standout teammate
- You can work out of our office in downtown San Francisco or New York