Description
As a Senior Decision Scientist, you will drive meaningful business outcomes by leading complex analytical initiatives and serving as a trusted partner to senior stakeholders.
What you will do:
- Drive business impact through data-driven insights. Identify and pursue high-value opportunities to improve product adoption, customer engagement, and revenue growth using advanced analytical and statistical methods.
- Lead experimentation and causal analysis. Design and execute rigorous A/B tests and causal inference studies to evaluate the impact of new product features, pricing strategies, and go-to-market initiatives. Champion experimental rigor across teams.
- Influence product and business strategy. Partner with product managers, engineers, marketing leaders, and senior stakeholders to translate complex business questions into structured analytical frameworks and deliver strategic recommendations.
- Deliver end-to-end analytical solutions. Own the full lifecycle of analytical initiatives , from identifying opportunities and building models to deploying solutions and measuring impact.
- Default to AI-first thinking. Design analysis approaches, recommend solutions, and elevate standards and throughput across the team by leveraging AI tooling and modern analytical techniques.
- Contribute to decision science best practices. Help define standards for experimentation, modeling, and insight delivery that raise the bar for analytical quality across the organization.
- Mentor and elevate peers. Guide data scientists and analysts by demonstrating best practices in methodology, communication, and stakeholder engagement.
- Communicate insights clearly and effectively. Translate complex analytical findings into actionable recommendations for both technical and non-technical audiences, including executive leadership.
What you will need to know/have:
- Master's degree or PhD in Statistics, Computer Science, Economics, Applied Mathematics, Operations Research, or a related quantitative field.
- 5–7 years of experience in data science, analytics, or a related discipline with a track record of delivering high-impact, cross-functional insights.
- Expertise in statistical modeling, machine learning, causal inference, and experimental design (A/B testing).
- Deep familiarity with AI tooling (Claude, ChatGPT, Glean) to improve throughput and analytical quality.
- Strong proficiency in SQL for data extraction and manipulation.
- Proficiency in Python or R for data analysis, modeling, and visualization.
- Experience working with modern data platforms (e.g., Snowflake, Databricks, Fivetran).
- Strong communication and storytelling skills with the ability to translate complex analyses into clear, strategic narratives.
- Demonstrated ability to lead end-to-end data science initiatives from problem definition through deployment and measurement.
- Experience in SaaS, product analytics, or EdTech environments is a plus.
- Ability to operate independently while collaborating effectively in a fast-paced, cross-functional environment.
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:
- Competitive compensation, plus all full-time employees participate in our ownership program , because everyone should have a stake in our success.
- Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
- Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
- Comprehensive wellness programs and mental health support
- Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
- The technology and tools you need to do your best work
- Motivosity employee recognition program
- A culture rooted in inclusivity, support, and meaningful connection