Senior Product Data Scientist — AI, Experiments & Insights

Jobgether; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation with stock

Comprehensive healthcare

Remote work from United States

Outdoor recreation allowance

Results-oriented culture

Meaningful impact

Collaborative environment

Job summary

Jobgether is seeking an experienced Product Analytics professional to partner with Product and Operations, shaping strategy through data-driven insights and experiments. You will design experiments, monitor KPIs, and advance AI-powered analytics initiatives across the organization.

You will collaborate with Data Engineering to build scalable analytics platforms, translate complex analyses into actionable recommendations, and drive business impact in a remote US environment.

Qualifications

• At least 6 years of experience in product analytics, growth analytics, marketing analytics, data science, or a related field.
• Strong SQL skills and proficiency in data visualization, with the ability to extract, interpret, and communicate meaningful insights from complex datasets.
• Solid statistical knowledge, including experience designing and interpreting experiments, assessing statistical significance, understanding causality, and distinguishing meaningful signals from noise.
• Working knowledge of machine learning concepts and models, with the ability to interpret model outputs, incorporate them into analyses, and collaborate on experiment design.
• Excellent storytelling and communication skills, with the ability to turn analytical findings into clear, actionable recommendations that influence stakeholders and drive decisions.

Responsibilities

• Partner with Product and Operations teams to shape product strategy, identify growth opportunities, develop hypotheses, and recommend priorities based on data-driven insights.
• Design and refine experiments using statistical methods and model outputs to test hypotheses, validate assumptions, and support informed decision‑making.
• Monitor, maintain, and communicate key performance indicators, ensuring teams have easy access to reliable metrics and a clear understanding of progress.
• Integrate AI tools throughout the analytical workflow to accelerate exploration, automate repetitive processes, prototype solutions, and focus efforts on high‑value analysis.
• Collaborate with Data Engineering to develop an AI-powered analytics platform, creating reusable workflows and self‑service tools that improve access to trusted data and actionable insights.
• Take end‑to‑end ownership of analytical initiatives, from identifying business questions and conducting investigations to communicating findings and supporting implementation.
• Work closely with cross‑functional stakeholders to translate complex analyses into clear recommendations, influence strategic decisions, and maximize business impact.
• Contribute to a culture of experimentation, continuous learning, and innovation by helping teams adopt more effective analytical practices and AI‑enabled ways of working.

Skills

SQL proficiency

Data visualization

Statistics

Experiment design

Machine learning concepts

Storytelling

Cross-functional collaboration

AI tools adoption

Communication

Full-stack problem solving

Curiosity

Tools

SQL

Job description

Jobgether is seeking an experienced Product Analytics professional to partner with Product and Operations, shaping strategy through data-driven insights and experiments. You will design experiments, monitor KPIs, and advance AI-powered analytics initiatives across the organization.

You will collaborate with Data Engineering to build scalable analytics platforms, translate complex analyses into actionable recommendations, and drive business impact in a remote US environment.