Job Description
Are you a data storyteller who thrives at the intersection of product strategy, machine learning, and user behavior? InnovateAI is seeking a Senior Data Scientist to spearhead our product analytics initiatives. In this role, you will partner closely with Product, Engineering, and Design teams to design experimentations, build predictive models, and extract actionable insights that directly shape our product roadmap.
We look for candidates who do not just crunch numbers, but who can translate complex data into compelling narratives that drive executive decisions. Join us and help scale a platform used by millions globally.
Responsibilities
- Design, execute, and analyze rigorous A/B and multivariate tests to optimize user onboarding and engagement loops.
- Build and deploy predictive machine learning models (such as churn prediction, LTV forecasting, and recommendation engines) into production.
- Develop robust data pipelines and interactive dashboards to democratize data access across the organization.
- Formulate strategic recommendations by analyzing large, complex datasets of user interactions and transactional behaviors.
- Mentor junior data scientists and advocate for data-driven decision-making best practices across the broader product org.
- Collaborate with data engineering to optimize our warehouse architecture (Snowflake/BigQuery) for analytical performance.
Qualifications
- Master's or Ph.D. in a quantitative field (such as Statistics, Computer Science, Economics) or equivalent practical experience.
- 5+ years of experience in a Data Science or Analytics role, preferably within a fast-growing B2B/B2C SaaS company.
- Expert-level proficiency in Python (Pandas, Scikit-Learn) and SQL for querying massive, complex datasets.
- Deep theoretical and practical understanding of statistical methods, experimental design, and causal inference.
- Demonstrated experience building and deploying machine learning models in a cloud environment (AWS, GCP, or Azure).
- Exceptional communication skills with the ability to translate complex technical findings to non-technical executive stakeholders.