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Senior Data Scientist - Product Analytics

Apex Analytics Group
San Francisco
Salary Estimate
USD 145.000 – USD 195.000
Latest
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Are you a Senior Data Scientist who thrives at the intersection of product strategy, machine learning, and user behavior? Apex Analytics Group is seeking a high-caliber data pioneer to lead our Product Analytics initiatives in San Francisco. In this role, you will design sophisticated experimentation frameworks, build predictive models, and extract high-impact insights that directly shape the roadmap of our flagship SaaS platform.

We offer a modern tech stack (Python, Snowflake, dbt, Spark), a highly collaborative culture, and the autonomy to drive major product decisions. If you are passionate about translating complex data into elegant, actionable business solutions, we want to hear from you.

Responsibilities

  • Design, execute, and analyze complex A/B and multivariate tests to optimize user onboarding and conversion funnels.
  • Build and deploy predictive machine learning models (churn prediction, LTV, personalization) using Python and PySpark.
  • Develop automated dashboards and self-service analytics tools in Tableau to empower product and marketing teams.
  • Partner with Product Managers and Engineering leads to define key performance metrics and instrument proper data tracking.
  • Conduct deep-dive exploratory data analyses to uncover hidden patterns in user behavior and identify growth opportunities.
  • Champion data-driven decision-making across the organization through clear, compelling storytelling and executive presentations.

Qualifications

  • Master’s or Ph.D. in Statistics, Computer Science, Economics, Applied Mathematics, or a highly quantitative field.
  • Minimum of 5 years of professional experience as a Data Scientist, with a strong focus on product or growth analytics.
  • Expert-level proficiency in SQL and Python (including pandas, numpy, scikit-learn, and statsmodels).
  • Deep theoretical and practical understanding of experimental design, hypothesis testing, and advanced statistical modeling.
  • Proven track record of deploying machine learning models into production cloud environments (AWS or GCP).
  • Exceptional communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python SQL R Machine Learning A/B Testing Statistics Tableau PySpark Snowflake dbt

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