Design, develop, implement, monitor, and maintain valuations related machine learning models
Manage data analysis and modeling projects leveraging appropriate statistical, mathematical or machine learning tools to support business strategies and outcomes
Manage analytic solutions (data, tools reports, models) that advance and accelerate business partner agenda
Generate and synthesize customer and market insights from a wide variety of data systems
Prepare reports of analysis results for business partners and other non-technical audiences
Develop needed databases, data structures, compute patterns and operational processes to extract maximum value from existing and new data assets
Write "production worthy" code and perform code review and necessary testing to ensure that data products meet the highest quality and production standards
Identify opportunities to apply statistical methods to improve business performance, advance new strategies or to solve existing challenges
Work cross-functionally with peers in Technology, product, and business analysts to identify new attributes and applications
Create business intelligence, dashboards, and/or other advanced analytics metrics and reports to adequately communicate the business narrative and offer recommendations that are actionable and have material impact
Provide mentorship and guidance to junior level team members, modeling effective working relationships and solution-building that demonstrates product value.

Bachelor’s Degree in Statistics, Computer Science, Applied Math, Physics, Engineering, Economics, Operations Research
3+ years’ experience with predictive analytics, implementing data products or analytic solutions, or related consulting experience with a proven record of performance
Proficient with Python, R, SQL or other common analytic programming languages
Familiarity with software management and change control systems, such as Git, GitHub, Bitbucket, etc.

Senior Data Scientist

Key skills