Senior Decision Scientist

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Drive business impact by leveraging data-driven insights. Identify and capitalize on high-value opportunities to enhance product adoption, customer engagement, and revenue growth through advanced analytical and statistical methodologies.

• Lead experimentation and causal analysis initiatives. Design and implement rigorous A/B tests and causal inference studies to assess the impact of new product features, pricing strategies, and go-to-market efforts. Advocate for experimental rigor across various teams.

• Influence product and business strategy. Collaborate with product managers, engineers, marketing leaders, and senior stakeholders to translate complex business inquiries into structured analytical frameworks, delivering strategic recommendations.

• Provide comprehensive analytical solutions. Manage the entire lifecycle of analytical projects — from identifying opportunities and constructing models to deploying solutions and measuring their impact.

• Embrace an AI-first mindset. Design analytical approaches, suggest solutions, and enhance standards and throughput within the team by utilizing AI tools and contemporary analytical techniques.

• Contribute to best practices in decision science. Assist in defining standards for experimentation, modeling, and insight delivery that elevate analytical quality across the organization.

• Mentor and uplift colleagues. Guide data scientists and analysts by showcasing best practices in methodology, communication, and stakeholder engagement.

• Communicate insights effectively. Convert complex analytical findings into actionable recommendations for both technical and non-technical audiences, including executive leadership.

⛳️ Requirements

• 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, demonstrating a history of delivering impactful, cross-functional insights.

• Proficiency in statistical modeling, machine learning, causal inference, and experimental design (A/B testing).

• Extensive familiarity with AI tools (Claude, ChatGPT, Glean) to enhance throughput and analytical quality.

• Strong skills in SQL for data extraction and manipulation.

• Proficient in Python or R for data analysis, modeling, and visualization.

• Experience with modern data platforms (e.g., Snowflake, Databricks, Fivetran).

• Excellent communication and storytelling abilities, capable of translating complex analyses into clear, strategic narratives.

• Proven track record of leading end-to-end data science initiatives from problem definition to deployment and measurement.

• Experience in SaaS, product analytics, or EdTech environments is advantageous.

• Ability to work independently while effectively collaborating in a fast-paced, cross-functional setting.

🏝️ Benefits

• Competitive compensation, with all full-time employees participating in our ownership program - ensuring everyone has 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, during which 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 foster your growth.

• Access to the technology and tools necessary for you to perform at your best.

• Motivosity employee recognition program.

• A culture founded on inclusivity, support, and meaningful connections.