Senior Product Data Scientist
TLDR
Shape experimentation and ML-driven product decisions in a high-growth SaaS platform, partnering with Product, Engineering, and Design to drive adoption and retention.
- Lead the design and execution of product experimentation programs, including A/B testing and causal inference, to identify opportunities that improve activation, retention, and engagement.
- Develop and deploy machine learning models such as gradient boosting machines, random forests, and logistic regression to generate actionable product insights and predictions.
- Partner with Product, Engineering, and Design teams to translate business challenges into structured data problems and analytical solutions.
- Communicate findings, model outputs, and experiment results through clear, compelling narratives tailored to executive and stakeholder audiences.
- Establish best practices for experimentation design, statistical rigor, and ML workflows to scale data science impact across the organization.
- Continuously refine data pipelines and analytical frameworks to support reliable, scalable, and repeatable insights generation.
- 5–7 years of experience as a Product Data Scientist or Senior Data Scientist in a SaaS environment.
- Strong expertise in product experimentation, including A/B testing, statistical significance, and causal inference methodologies.
- Proficiency in Python with hands-on experience using libraries such as scikit-learn and MLflow.
- Proven ability to build and deploy machine learning models, including tree-based models and regression techniques.
- Experience working in cross-functional teams with Product, Engineering, and Design stakeholders.
- Strong communication skills with the ability to translate complex analytical results into clear business recommendations for executive audiences.
- Experience with large-scale product or behavioral datasets and a strong analytical mindset.
- Competitive base salary with equity in a high-growth, late-stage venture-backed company
- Comprehensive health, dental, and vision insurance starting from day one
- Unlimited paid time off for flexibility and work-life balance
- Home office stipend and annual learning & development budget
- Hybrid or remote-friendly work environment depending on location
- Exposure to high-impact product work at scale in a fast-growing SaaS organization
- Opportunity to shape experimentation and data science practices from the ground up
Requirements:
Benefits:
Benefits
Equity Compensation
Competitive base salary with equity in a high-growth, late-stage venture-backed company
Health Insurance
Comprehensive health, dental, and vision insurance starting from day one
Home Office Stipend
Home office stipend and annual learning & development budget
Data science and experimentation shaping opportunity
Opportunity to shape experimentation and data science practices from the ground up
Paid Time Off
Unlimited paid time off for flexibility and work-life balance
Remote-Friendly
Hybrid or remote-friendly work environment depending on location
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services