Decision Science Intern

Instructure, Inc.

1d • Hybrid

About The Position

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.
We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:
Instructure, Inc. is seeking a motivated Decision Science Intern to support our data-driven initiatives. This role involves applying analytical techniques to real-world problems, contributing to product and business strategy, and gaining hands-on experience in a fast-paced technology company.

Requirements

• Currently pursuing a Bachelor's, Master's, or Ph.D. degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Operations Research, or a related discipline.
• Strong understanding of statistical concepts and methods.
• Proficiency in at least one programming language commonly used for data analysis (e.g., Python, R).
• Familiarity with SQL for data extraction and manipulation.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to explain complex findings clearly.
• Ability to work independently and as part of a team in a dynamic environment.

Nice To Haves

• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, ggplot2) is a plus.
• Prior experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) is a bonus.

Responsibilities

• Assist in the collection, cleaning, and preparation of large datasets for analysis.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Develop and implement statistical models and machine learning algorithms to solve business problems.
• Contribute to the design and analysis of A/B tests and other experimental methodologies.
• Visualize and communicate analytical findings to both technical and non-technical stakeholders.
• Collaborate with product managers, engineers, and other data professionals to understand business needs and deliver actionable recommendations.
• Support the development and maintenance of data pipelines and analytical tools.
• Participate in team meetings and contribute to ongoing learning and knowledge sharing.

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

What This Job Offers

• Career Level: Intern