Staff Data Scientist

8+ years of experience building and leading data science and analytics projects
Master’s degree or PhD in a quantitative field (Mathematics, Physics, Economics, Engineering or related areas) or equivalent experience in the field
Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics including experimentation and statistical inference
Advanced ability to perform data segmentation and manipulation directly using SQL and Python
Able to organize, prioritize and assist with business requests with adequate scoping and stakeholder expectation setting
Strong presentation skills, being able to author and present insights to the leadership team, and influence decision makers

Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations for various departments across the company
Act as technical leader on the team – identify and disseminate best practices across team in terms of tools, systems, and processes
Create and monitor KPIs and present emerging trends and actionable insights to leadership team
Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
Develop dashboards and perform ad hoc analysis when necessary
Build forecasting and ROI models to project growth for various initiatives to assist with roadmap prioritization
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
Perform light ETLs as needed for the role

Experience mentoring more junior data scientists/analysts a plus
Knowledge of data tracking, database architecture, ETL/data preparation tools, APIs a plus
Data visualization skills and experience with BI tools (like Tableau/Looker) a plus