What are the responsibilities and job description for the Growth Lead Data Scientist position at Data People Search?
Job Description
Job Description
Our client is a tech focused and data driven FinTech / Insurance company. They are actively growing their Quantitative Science team and are seeking a Lead Data Scientist to facilitate continued growth.
The key to this position is strong data science capabilities as well as deep experience in full funnel marketing. You will proactively identify new opportunities for expansion and optimization, shepherding solutions from R&D into production. Your contribution will help shape and prioritize the team's experimentation roadmap.
Fully remote position. Compensation is very competitive.
RESPONSIBILITIES :
Perform rapid testing and rigorous measurement of novel marketing strategies
Provide domain-wide thought leadership on mid-upper funnel experimentation, targeting, measurement, and best practices based on industry experience
Proactively identify and frame greenfield opportunities for expansion and optimization of direct marketing
Build data science pipelines to quickly iterate on research ideas and put them into production
Take end-to-end ownership of problem domains and continuously improve upon quantitative solutions
REQUIREMENTS : Technical skills :
Advanced programming skills with experience using modern packages in Python or R; expertise in databases and SQL; familiarity with version control (e.g. Git)
Experience with AWS (or analogous) utilities, e.g., EC2, SageMaker, S3, Athena
Excellent business intelligence and visualization skills, with the ability to speak to many different audiences
Full funnel marketing experience :
Developing, executing, and measuring the impact of targeted, data-driven marketing strategies
Targeting Models : building and deploying ML targeting models for video, display, and / or email campaigns
Measurement : designing and implementing A / B tests to measure the incremental lift of a new campaign
Preferred but not required :
Experience working with DSPs such as The Trade Desk and Meta
Experience using identity graphs to enhance targeting and measurement of marketing campaigns
MLOps : experience with automation and building scalable and efficient ML solutions, familiarity with software engineering best practices
Insurance industry experience
Advanced degree in a quantitative discipline (PhD preferred) and 6 years of applying advanced quantitative techniques to problems in industry
