Instructure Hungary Ltd

Budapest , Balatoni út 2/a

1M – 1.3M HUF alkalmazotti havi bruttó

Elvárások

• Data science
• Data analytics
• Python
• R
• BI
• Data visualization
• AI
• Angol (C1)

Előnyt jelentő készségek

• AWS
• Snowflake
• Redshift
• BigQuery

A mi követelményeink

Eredeti szöveg. Fordítás megjelenítése

What You’ll Need to Know/Have

• • 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

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)
  • Experience with product analytics, experimentation, or lifecycle analysis
  • Prior experience working in cross-functional teams

Pozíció / projekt rövid leírása

Eredeti szöveg. Fordítás megjelenítése

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 an Associate Data Scientist at Instructure, you’ll work at the intersection of data, AI, and business decision-making. You’ll partner closely with senior Data Scientists, product managers, and cross-functional teams to support analyses that inform product, growth, and go-to-market decisions impacting millions of learners.

This role is designed for early-career Data Scientists who have strong analytical foundations, hands-on project experience, and high learning velocity, and who are ready to grow into owning end-to-end work with mentorship and support.

Napi feladatok

Eredeti szöveg. Fordítás megjelenítése

1. 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
2. Design, execute, and evaluate experiments (A/B tests) to assess feature performance, marketing impact, and user behavior
3. Perform large-scale data analysis to extract insights and support product and business decision-making.
4. Develop and validate machine learning models using core techniques such as regression, classification, clustering, and time series to solve business problems.
5. Build predictive and forecasting models that support product planning, business strategy, and decision-making
6. Identify leading indicators and define metrics that enable teams to track progress and outcomes
7. Build and deliver dashboards, reports, and data products that provide visibility into product and user behavior
8. Communicate insights clearly and persuasively to executive and functional stakeholders using both data and storytelling
9. Partner with data engineering to improve data pipelines, reliability, and access at scale
10. Use AI tools (e.g., ChatGPT, Claude, Cursor, Windsurf) to accelerate analysis, coding, and insight generation
11. Contribute to a culture of learning, experimentation, documentation, and continuous improvement within the data organization
12. Mentor and support junior Data Scientists through feedback, guidance, and shared best practices

mutass kevesebbet

Specifikációk

• Online állásinterjú
• Toborzás nyelvei: magyar&angol
• Azonnali kezdés
• Rugalmas távmunka
• Rugalmas munkaidő

Biztosított eszközök

• Apple
• Monitorok: Egy

Irodán belüli juttatások

• Ingyenes kávé
• Kerékpártároló
• Szórakozási zóna
• Zuhanyzó
• Ingyenes snack
• Ingyenes italok
• Ingyenes parkolás
• Belső képzések
• Belső hack napok
• Modern iroda
• Startup hangulat
• Nincs dress code
• Ingyenes reggeli
• Hack-weeks
• Employee assistance program

Extrák

• Nemzetközi projektek
• Kis létszámú csapat
• Lapos szervezet

JELENTKEZÉSHEZ KATTINTS IDE