Manager & Senior Data Scientist at Travelers using advanced statistical techniques and machine learning algorithms for business problem - solving. Lead data - driven initiatives to enhance customer experience and operational efficiency.
About the role
- Associate Data Scientist leveraging data, AI, and analytics to support decision-making at Instructure. Collaborating with teams to uncover insights and drive better learning experiences.
Responsibilities
- With guidance from senior team members, you will:
- Support cross-functional projects by translating business questions into analytical work, including exploratory analysis, experimentation support, and modeling
- Analyze product and user data to surface insights related to feature performance, engagement, and growth
- Build and maintain dashboards, reports, and analyses that help teams understand key metrics
- Contribute to experimentation efforts (A/B tests), including setup, analysis, and interpretation
- Assist with forecasting and modeling used for planning and decision-making
- Communicate findings through clear written summaries, visualizations, and presentations
- Use AI tools (e.g., ChatGPT, Claude, Cursor) to accelerate analysis, coding, and learning
- Learn and apply best practices around data quality, experimentation, and statistical rigor
- Contribute to a culture of learning, documentation, and continuous improvement within the data team
Requirements
- 0–2 years of experience in data science, analytics, or a related quantitative role (or strong recent graduates with meaningful applied experience)
- Strong foundations in SQL and experience using Python or R for analysis
- Coursework or hands-on experience with:
- Statistics and experimentation
- Core machine learning techniques (e.g., regression, classification, clustering, time series)
- Practical experience through internships, research, coursework projects, or side projects
- Comfort working with messy, real-world data
- Familiarity with BI and data visualization tools (e.g., Tableau, Looker, Power BI)
- Experience using AI tools to accelerate analysis and problem solving
- Clear communication skills and willingness to ask questions, learn, and iterate
- Curiosity, adaptability, and strong learning velocity
Benefits
- Competitive compensation and participation in Instructure’s equity program
- Flexible schedules and a remote-friendly culture, with hybrid or onsite work based on business needs
- Annual “Dim the Lights” company-wide shutdown from December 26 to December 31
- Comprehensive wellness programs and mental health support
- Annual learning and development stipends to support your growth
- We provide the technology and tools you need to do your best work—typically a Mac, with PC options available in some locations
- A culture rooted in inclusivity, support, and meaningful connection
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