# Senior Decision Scientist **Company**: Instructure **Location**: Mexico **Work arrangement**: remote **Experience**: senior **Job type**: full-time **Salary**: MX$911K - MX$1.1M **Category**: Data Science **Industry**: Technology **Apply**: https://jobs.ashbyhq.com/instructure/5264e2b8-1854-44ce-91b2-77ba2f522395?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_f432d1dd-82f ## 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 ## Skills ### Required - Statistics - Computer Science - Economics - Applied Mathematics - Operations Research - Machine Learning - Causal Inference - Experimental Design - SQL - Python - R - Snowflake - Databricks - Fivetran - Claude - ChatGPT - Glean ### Nice to have - SaaS - product analytics - EdTech --- Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/instructure/5264e2b8-1854-44ce-91b2-77ba2f522395?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)