Decision Scientist
Location
Mexico
Posted
11 days ago
Salary
$548K - $685K / year
Seniority
Mid Level
Job Description
Decision Scientist
Instructure
• Support business impact through data-driven insights. Conduct analyses that uncover opportunities to improve product adoption, customer engagement, and revenue growth using rigorous analytical methods. • Execute experimentation and causal analysis. Support the design and execution of A/B tests and causal inference studies to evaluate the impact of new product features, pricing strategies, and go-to-market initiatives. • Contribute to product and business strategy. Partner with product managers, engineers, and marketing teams to translate business questions into structured analytical frameworks and deliver clear, actionable findings. • Deliver analytical solutions end-to-end. Own the lifecycle of analytical projects — from scoping problems and building models to presenting insights and tracking outcomes. • Apply AI-first thinking. Leverage AI tooling (e.g., Claude, ChatGPT, Glean) to accelerate analysis, improve throughput, and elevate the quality of deliverables. • Communicate insights clearly. Translate analytical findings into recommendations that both technical and non-technical stakeholders can understand and act on.
Job Requirements
- Master's degree in Statistics, Computer Science, Economics, Applied Mathematics, Operations Research, or a related quantitative field (PhD is a plus).
- 2–4 years of experience in data science, analytics, or a related discipline with demonstrated ability to deliver actionable insights.
- Strong understanding of statistical modeling, machine learning fundamentals, and experimental design (A/B testing).
- Familiarity with AI tooling (Claude, ChatGPT, Glean) to improve productivity.
- Strong proficiency in SQL for data extraction and manipulation.
- Proficiency in Python or R for data analysis, modeling, and visualization.
- Proficiency in a Business intelligence tool (Tableau, PowerBI... etc.)
- Experience working with modern data platforms (e.g., Snowflake, Databricks, Fivetran).
- Strong communication and storytelling skills with the ability to present complex analyses clearly.
- Experience in SaaS, product analytics, or EdTech environments is a plus.
- Ability to work effectively in a fast-paced, cross-functional environment.
Benefits
- 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
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