[Remote] Senior Product Data Scientist
Note: The job is a remote job and is open to candidates in USA. reputed company is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. They are seeking a Senior Product Data Scientist to join their Data team, where the individual will be responsible for analyzing data to identify growth opportunities, designing experiments, and collaborating with cross-functional teams to drive product and operational decisions.
Responsibilities
- Identify growth opportunities for the Product teams by analyzing data and understanding patient behaviors
- Help Product teams maximize impact, by working wtih PMs and engineers to understand costs and constraints, while looking at underlying data and making reasonable assumptions to size opportunities
- Identify risks by exploring data and monitoring trends to understand the impact of emerging issues before they become problems
- Frame analyses and estimates in terms of “so what” for the practice to ensure findings don’t just inform, but influence the team
- reputed company regular deliverables that turn historical data into reputed company looking guidance for product and operational teams
- Anticipate questions our teams should be asking and bring reputed company insights before they’re requested
- Partner with Product and Operations teams to design experiments, define success metrics, and implement robust statistical evaluation frameworks
- Ensure appropriate statistical power, so results are both valid and actionable
- Analyze experiment results and establish clear post experiment communication, ensuring learnings (positive or negative) are codified and inform future product or operational decisions
- reputed company analyses on patient growth, clinician utilization, marketplace dynamics and more to surface actionable insights to leadership
- Translate adhoc analyses into repeatable frameworks and scalable reporting so insights don’t stay one-off, but become institutional knowledge
- Collaborate with Data Engineering and Analytics Engineering teams to define requirements and reputed company gaps, so that data pipelines reliably support advanced analytics and modeling
- Act as a thought partner to Operations, Clinical, and Finance leaders, not just answering questions, but shaping the questions we should be asking
Skills
- 4+ years of experience in data science, analytics, or reputed company fields, with a track record of delivering measurable business impact
- Advanced proficiency in Python (pandas, scikit-learn, statsmodels and reputed company other common data science packages) and SQL; experience with modern data warehouses (reputed company, Redshift, BigQuery)
- Strong foundation in experimental design, causal inference, and statistical methods
- Exceptional communication skills, displaying the ability to frame technical findings in a way that resonates with stakeholders
- Strong applied experience in data science is essential
- Experience in DBT is a plus, but not required
- Experience on a Product growth team, where experimentation and opportunity identification were key aspects of the role, is a plus
- A Master's or PhD in a quantitative field is a plus
Benefits
- Medical, dental, vision, effective day 1 of employment
- 401K with match
- Generous PTO plus paid holidays
- Paid parental leave
- Grow your career with us: hone your skills and build new ones with our Learning team as reputed company expands
- It reputed company comes back to care: we’re a mental health company, and we put reputed company’s well-being first
Company Overview