Senior Data Scientist - Product Analytics
The Data Scientist partners with product teams to define metrics, analyze user and product data, run experiments, build pipelines and dashboards, and deliver insights that shape product strategy. The role requires 5+ years of experience, strong SQL and analytical skills, and proficiency in Python or R.
About the job
Responsibilities
- Partner with product teams to identify important questions and answer them with data.
- Work with product managers, designers, and engineers to develop product success metrics, set targets, measure results and outcomes, and size opportunities.
- Design, build, and update end-to-end data pipelines, collaborating with stakeholders on new data collection and refinement of existing data sources and tables.
- Partner with product researchers to build a holistic understanding of customers, products, and the business.
- Influence product roadmaps and strategy through experimentation, exploratory analysis, and quantitative research.
- Build and automate actionable models and dashboards.
- Craft data stories and share findings and recommendations across R&D and the broader company.
- Drive and shape core Research, Analytics & Data Science foundations and improve how the organization operates.
Requirements
- 5+ years of experience working with data to solve problems and drive evidence-based decisions.
- Excellent SQL skills and experience applying analytical and statistical approaches to problem-solving.
- Proven ability to initiate and deliver actionable analysis and insights that drive tangible impact with minimal supervision.
- Excellent technical and non-technical communication skills, with a focus on driving impact.
- Strong growth mindset, sense of ownership, passion, and curiosity.
- Experience with a scientific computing language such as R or Python.
Nice-to-haves
- Experience with BI and visualization tools such as Tableau, Superset, or Looker.
- Experience with data modeling and ETL pipelines.
- Experience working with product teams.
- Experience leveraging AI tools across the data science workflow, including ideation, coding, analysis, and communication.
Compensation and benefits
- Competitive salary and equity.
- Lunch provided every weekday, snacks, and a fully stocked kitchen.
- Regular compensation reviews.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Open vacation policy and flexible holidays.
- Paid maternity leave and six weeks of paternity leave.
- MacBook provided, with alternative equipment available as needed.
- Hybrid work policy requiring employees to be in the office at least three days per week.
Skills
SQL, Python, R, Statistics, Data Analysis, Data Visualization, Tableau, Superset, Looker, Data Modeling, Etl Pipelines, Experimentation, Dashboards
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