Were looking for a highly skilled Senior Data Scientist to play a pivotal role on the Member Data Science team focused on driving and accelerating member growth across a broad set of member growth initiatives. This role will be instrumental in establishing measurement frameworks and analytical infrastructure to support growth strategies end to end. Key responsibilities include defining success metrics building tracking systems designing experiments conducting customer segmentation and price elasticity analyses and optimizing member acquisition economics with propensity models. The Member Organization builds engaging and personalized experiences for our members across our product lines.
As a Sr. Data Scientist on the Member Growth pillar you will be responsible for defining and owning core growth KPIs building and maintaining reliable dashboards and reporting to track performance and establishing clear success metrics across the growth funnel. You will conduct deep-dive analyses such as customer segmentation funnel analysis A/B testing and elasticity or trade-off evaluations to identify levers that optimize conversion and become an SME in our member referral program. You will develop models (e.g. propensity or uplift models) to inform targeting prioritization and investment decisions across growth initiatives. This role requires strong technical skills (SQL Python/R Tableau Statistics) deep expertise in metrics segmentation experimentation and strong collaboration.
This role is inherently cross-functional you will work closely with engineering product managers lifecycle marketing data science design operations finance and executive teams to set growth objectives define referral program strategy prioritize features provide insights and execute on them. This is an exciting role for someone to make a direct impact on the companys growth trajectory and member experience.
Responsibilities:
Design and implement data collection and processing pipelines
Develop and apply machine learning models to solve business problems
Strong experience owning product analytics workflows including formulating success metrics socializing them across the organization and creating dashboards/reports
Evaluate and interpret the results of data analysis
Communicate findings to influence technical and non-technical stakeholders
Stay up-to-date on the latest data science techniques and technologies
Build data pipelines to deploy production level datasets
Qualifications:
Bachelors degree required (Masters preferred) in Computer Science Math Physics Engineering or quantitative field.
4 years of relevant work experience
Strong programming skills in SQL Python/R and proficiency in Tableau
Proven experience creating dashboards and reports that drive business decisions
Experience with using DBT Airflow to build Data Pipelines in Snowflake
Experience with experimental design/interpretation A/B testing quasi-experimentation for causal inference
Experience with data mining descriptive analytics defining KPIs machine learning statistical modeling and predictive modeling concepts.
Experience with funnel analysis cohort analysis and segmentation
Demonstrate strong business acumen and curiosity with excellent communication and presentation skills including the ability to present to leadership.
Ability to work independently and as part of a team. You should be able to initiate and drive projects to completion
Exceptional problem-solving skills
Influence outcomes and communicate technical content to general audiences
Work independently in a dynamic cross-functional environment with strong attention to detail and the ability to be a team player.
Prepare comprehensive data reports and make insights easy to understand.
Required Experience:
Senior IC
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