Senior Data Scientist - Product

Jobgether

3d • Remote

About The Position

This role offers a high-impact opportunity to shape product strategy and drive meaningful business outcomes through data. As a Senior Data Scientist, you will partner closely with product managers, engineers, and cross-functional teams to transform complex datasets into actionable insights that optimize existing products and inform early-stage initiatives. You will design robust analytics frameworks, develop predictive models, and lead experiments to evaluate product performance. This position requires a blend of technical expertise, strategic thinking, and strong communication skills to influence decision-making and foster a data-driven culture. The role is ideal for someone passionate about using analytics to solve product challenges, enhance user experiences, and contribute directly to business growth. You will thrive in a fast-paced, collaborative environment that values experimentation, ownership, and continuous improvement.

Requirements

• Bachelor’s or Master’s degree in Analytics, Applied Mathematics, Statistics, Economics, Computer Science, or a related quantitative field.
• Extensive experience in product analytics or a similar data-driven role, with demonstrated impact on product strategy and decision-making.
• Expertise in SQL, A/B testing, machine learning, statistical analysis, and programming languages such as Python, R, or SAS.
• Proven ability to analyze complex datasets, build predictive models, and provide actionable recommendations.
• Experience with SaaS or Product-Led Growth environments, including familiarity with product activation and engagement metrics.
• Proficiency with product analytics tools (e.g., Amplitude, Heap, Mixpanel) and tracking end-to-end user journeys.
• Strong communication and collaboration skills, able to convey technical insights to diverse stakeholders.
• Adaptability to thrive in a fast-paced, dynamic, and highly autonomous environment.

Nice To Haves

• Prior experience supporting 0-to-1 product launches.
• Deep understanding of cohort, funnel, and engagement analysis in SaaS products.
• Passion for continuous learning and improvement, with a focus on actionable outcomes.
• Strong product sense and ability to align insights with customer needs and business goals.

Responsibilities

• Translate product and business questions into actionable data analyses and insights that optimize performance and user experience.
• Partner with product managers, engineers, and cross-functional teams to identify critical metrics and provide data-driven recommendations.
• Develop, maintain, and scale analytics infrastructure to ensure reliable, accurate, and timely insights.
• Conduct cohort, funnel, and time-series analyses to monitor product health and user behavior.
• Design and evaluate experiments (A/B testing, causal inference) to assess feature impact and product initiatives.
• Support early-stage product development by identifying key performance indicators and analyzing initial adoption data.
• Communicate findings clearly to both technical and non-technical stakeholders to influence product decisions and strategy.
• Establish best practices for data collection, analysis, and reporting to promote a culture of data-driven decision-making.

Benefits

• Competitive total cash compensation with annual base and bonus potential.
• Equity participation and potential for meaningful financial upside.
• Flexible work arrangements and remote-friendly environment.
• Comprehensive health, dental, and vision benefits.
• Retirement plan options including 401(k) with company match.
• Generous paid time off, parental leave, and holiday policy.
• Opportunity to influence product strategy and make a tangible impact on company growth.
• Professional development opportunities in a fast-paced, collaborative, and AI-enabled work environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level