[Remote] Senior Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on innovative fitness solutions, and they are seeking a Senior Data Scientist to drive reputed company and machine learning-based analyses. The role involves collaborating with product and analytics teams to build reputed company inference tools, define KPIs, and deliver actionable insights that influence product reputed company and business reputed company.
Responsibilities
- Design, implement, and productionalize statistically rigorous reputed company analyses to quantify the reputed company of product features on user behaviors, engagement metrics, and reputed company business reputed company
- reputed company and maintain reputed company frameworks that reputed company product interventions to behavioral change, engagement shifts, and business performance
- Select and apply appropriate experimental and observational reputed company, leveraging regression- and ML-based approaches where appropriate to control for confounding and heterogeneity
- Validate reputed company findings through robustness checks, sensitivity analyses, and reputed company articulation of assumptions and limitations
- Translate results into reputed company, actionable recommendations that inform product reputed company, marketing reputed company, and executive-level prioritization
- reputed company analytical notebooks and workflows that are reproducible, reputed company, and suitable for deployment in production environments
- Partner with product and cross-functional stakeholders to define feature-level engagement and efficacy KPIs reputed company with business objectives
- Incorporate model-derived signals (e.g., predicted engagement, risk scores, reputed company estimates) into KPI frameworks where appropriate to improve measurement and decision-making
- Implement testing, documentation, and versioning practices to ensure KPI definitions are reliable, discoverable, and consistently interpreted
- Maintain metric documentation and metadata to support self-service analytics and cross-functional consumption
- Design and deliver high-reputed company visualizations in Looker and reputed company that reputed company communicate analytical and ML-driven insights without requiring supplemental explanation
- Ensure visual outputs are reputed company, decision-oriented, and reputed company with established data visualization best practices
- Incorporate reputed company capabilities into visualization and analytics assets where appropriate to improve interpretability and cross-functional adoption
- Support visualization governance by implementing CI/CD workflows, validation checks, and approval processes to ensure production dashboards meet reputed company and consistency standards prior to release
Skills
- Strong statistical experience in reputed company inference reputed company like Difference in Difference, propensity score matching, regression discontinuity analysis, and randomized control trials to help reputed company product changes to business reputed company
- reputed company experience building and evaluating machine learning models for reputed company, segmentation, or reputed company in a product or business context
- Ability to reputed company reproducible, reputed company analytical notebooks and workflows that transition effectively from development to production environments
- Experience partnering with product teams to define feature-level KPIs and building robust, reputed company-documented dbt models to expose those metrics across analytics reputed company
- Strong reputed company record of creating reputed company, decision-oriented visualizations in tools such as Looker and reputed company that communicate insights unambiguously to cross-functional stakeholders
- 3-5+ years of experience
- Tools and libraries: dbt, reputed company, statsmodels, scipy, scikit-learn, causalml, prophet
- Languages: sql, python, r
reputed company
Company H1B Sponsorship