Senior Data Scientist - Product

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist - Product based in United States.

This is an opportunity for a senior data science professional to shape product strategy through rigorous, actionable analysis.

You will partner closely with product managers, engineers, and other stakeholders to solve high-impact product questions.

The role combines exploratory analytics, experimentation, statistical modeling, and product performance optimization.

You will help establish reliable analytics foundations that enable confident, data-driven decisions at scale.

Your insights will influence user experience, product adoption, activation, and the evolution of both existing and emerging products.

You may also support early-stage 0-to-1 initiatives by defining success metrics and interpreting initial product signals.

This is a fast-paced, remote environment where strong product judgment, ownership, and analytical thinking can translate directly into measurable business impact.

Accountabilities

• Translate business and product needs into rigorous analyses, actionable insights, and recommendations that improve product performance and user experience.
• Partner with product managers, engineers, and cross-functional stakeholders to identify critical questions, frame analytical approaches, and guide data-informed decisions.
• Conduct exploratory and advanced analyses, including cohorting, time-series analysis, funnel analysis, experimentation, statistical analysis, and machine learning where appropriate.
• Build, maintain, and improve scalable analytics infrastructure, ensuring data collection, reporting, and analytical outputs are reliable, accurate, and fit for purpose.
• Establish and promote best practices for data analysis, measurement, reporting, and interpretation across product teams.
• Identify opportunities to improve activation, engagement, conversion, and other key product outcomes, translating findings into practical initiatives.
• Support product optimization as well as selected 0-to-1 launches by defining meaningful metrics and analyzing early-stage product performance.
• Use SQL, Python, R, SAS, and related analytical tools to investigate complex product questions and influence product strategy.
• Work with product analytics platforms and event data to understand end-to-end user journeys, funnels, and behavioral patterns.
• Communicate findings clearly through recommendations, presentations, and reports tailored to both technical and non-technical audiences.
• Promote a culture of data-driven decision-making, continuous experimentation, and measurable product improvement.
• Take ownership of analytical projects from problem definition through execution, recommendation, and measurement of impact.

Requirements

• Bachelor’s degree in Analytics, Applied Mathematics, Economics, Statistics, or another relevant analytical discipline, or an equivalent combination of education and professional experience.
• Strong professional experience in product analytics, data science, or a closely related data-focused role, with demonstrated influence on product strategy and decision-making.
• Deep hands-on experience with exploratory analysis involving cohorting, time-series analysis, funnel analysis, and product optimization.
• Expert-level proficiency in SQL, A/B testing, statistical analysis, machine learning, and analytical programming languages such as Python, R, or SAS.
• Experience building and maintaining dependable analytics infrastructure and ensuring the quality and integrity of data used for decision-making.
• Experience with product analytics platforms such as Amplitude, Heap, or Mixpanel and the ability to analyze event-level data and end-to-end customer journeys.
• Strong ability to transform complex quantitative findings into clear, practical recommendations that cross-functional teams can act upon.
• Experience supporting SaaS or product-led growth environments is highly valuable, particularly around activation metrics, user journeys, and identifying opportunities to improve product adoption.
• Exposure to 0-to-1 product development and early-stage product measurement is a plus.
• Excellent communication and presentation skills, with the ability to influence both technical and business stakeholders.
• Strong product sense, business judgment, accountability, adaptability, and a continuous-learning mindset.
• Comfortable operating in a fast-moving environment where priorities evolve and analytical decisions may need to be made with imperfect information.

Benefits

• Competitive total cash compensation, with annual base salary and bonus considerations.
• Tier 1 salary range: $160,000–$200,000 USD for San Francisco, New York City, and Seattle.
• Tier 2 salary range: $140,000–$176,000 USD for other U.S. locations.
• Equity opportunities.
• 401(k) plan.
• At least 10 paid holidays per year.
• Flexible paid time off and parental leave.
• Medical, dental, and vision coverage.
• FSA/HSA options.
• Life, AD\&D, short-term disability, and long-term disability insurance.
• Employee assistance and wellbeing programs.
• Global travel coverage.
• Opportunities for professional growth, autonomy, experimentation, and meaningful product impact.
• Remote work environment with a strong emphasis on ownership, collaboration, continuous improvement, and the use of AI and automation to work more effectively.

How Jobgether Works

We use an

AI-powered matching process

to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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