What is the salary for this Mid/Senior Data Scientist, AI & Analytics role?

Salary information is not publicly listed for this position. Apply directly to discuss compensation with Instructure.

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This is an on-site position at Instructure located in Budapest.

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Instructure is actively hiring for Data roles. Visit the company page to see all open positions and learn more about working at Instructure.

Mid/Senior Data Scientist, AI & Analytics

Instructure Budapest Today

data

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: We believe in empowering people through data, and we’re looking for a Decision Scientist to help us uncover insights that drive better learning experiences and strategic outcomes.

As a Data Scientist at Instructure, you’ll work at the intersection of data, AI, and business decision-making. You’ll partner closely with product, marketing, sales, and customer success teams to drive insights that inform product strategy, growth initiatives, and go-to-market decisions impacting millions of learners. This role is designed for Data Scientists who bring strong analytical judgment, end-to-end ownership, and the ability to influence decisions through trusted insights. You’ll operate independently while collaborating closely with cross-functional partners and mentoring more junior team members.

What You’ll Do

Own cross-functional analytics initiatives by translating product and growth objectives into end-to-end analytical workflows, including exploratory analysis, experiment design, modeling, and interpretation

Design, execute, and evaluate experiments (A/B tests) to assess feature performance, marketing impact, and user behavior

Build predictive and forecasting models that support product planning, business strategy, and decision-making

Identify leading indicators and define metrics that enable teams to track progress and outcomes

Build and deliver dashboards, reports, and data products that provide visibility into product and user behavior

Communicate insights clearly and persuasively to executive and functional stakeholders using both data and storytelling

Partner with data engineering to improve data pipelines, reliability, and access at scale

Use AI tools (e.g., ChatGPT, Claude, Cursor, Windsurf) to accelerate analysis, coding, and insight generation

Contribute to a culture of learning, experimentation, documentation, and continuous improvement within the data organization

Mentor and support junior Data Scientists through feedback, guidance, and shared best practices

What You’ll Need to Know/Have

3–6+ years of experience in data science, analytics, or a related quantitative role

Strong proficiency in SQL and experience using Python or R for analysis and modeling

Deep knowledge of: experimentation and A/B testing, statistical methods and causal inference, core machine learning techniques (e.g., regression, classification, clustering, time series)

Proven experience owning analyses or models used to inform real business or product decisions

Experience working with large, messy datasets in production environments

Strong familiarity with BI and data visualization tools (e.g., Tableau, Looker, Power BI)

Demonstrated ability to distill complex analyses into clear, actionable insights

Comfort navigating ambiguity and prioritizing work in a fast-paced, evolving environment

Strong communication skills and ability to collaborate effectively with technical and non-technical stakeholders

Experience leveraging AI tools (e.g., ChatGPT, Claude, Cursor, Windsurf) to accelerate analysis, coding, insight generation, and improve overall productivity of analytical workflows

It Would Be a Bonus If You Had

Experience in EdTech or working with education-related products

Familiarity with cloud-based data platforms (e.g., Snowflake, Redshift, BigQuery)

Background in behavioral analytics, churn prediction, or customer lifecycle modeling

Prior experience mentoring or guiding junior analysts or data scientists

Growth & Impact - In this role, you’ll be expected to

Independently own and drive high-impact analytical work

Influence product and business decisions through trusted insights

Help shape experimentation and measurement strategy across teams

Act as a thought partner to cross-functional stakeholders

Grow into broader technical or leadership responsibilities over time

Why Join Us

Join us and help shape the future of education through intelligent insights and meaningful impact

At Instructure, we’re on a mission to help educators and students learn together - anytime, anywhere, and however works best. You’ll join our advanced development team, a research-driven group tackling education’s biggest challenges with cutting-edge technology. Our projects have included making sense of unstructured feedback, applying large language models to save teachers’ time and improve student experiences, classifying partner networks for smarter recommendations, and detecting fraud to protect resources for real learners.

We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you’ll have the chance to build the next generation of LMS features that make a real impact on students and teachers—and to do it in a collaborative, supportive environment that encourages experimentation and growth.

Get in on All the Awesomeness at Instructure

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 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

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.