# Data Scientist at Too Good To Go

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Partner with Product and business teams

- **Company:** Too Good To Go (https://jobs.trythestack.co/companies/too-good-to-go)
- **Location:** København, Hovedstaden, Denmark
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Machine Learning, Statistical Modeling, Python, SQL, A/B Testing, Personalization, Recommendation Systems, Marketplace Optimization, Forecasting, Time Series Analysis, Causal Inference, Data Products, Experimentation Frameworks, Problem Framing, Stakeholder Management, Communication
- **Posted by employer:** 2026-05-13
- **Added to The Stack:** 2026-05-14
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://job-boards.greenhouse.io/toogoodtogo/jobs/7683663003 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-too-good-to-go

## About the role

Responsibilities:
- Partner with Product and business teams to identify high-impact opportunities for data science across the marketplace.
- Design, develop and deploy ML models and statistical methods for personalization, recommendation, marketplace optimisation and demand/supply forecasting.
- Translate ambiguous business problems into scalable models, algorithms and data products; take end-to-end ownership from framing to impact evaluation.
- Design experimentation and measurement frameworks (A/B tests) to validate model impact and guide improvements.
- Collaborate closely with Product Analysts, ML Engineers and stakeholders to operationalise models and share best practices.

Requirements:
- Master’s or PhD in Data Science, Statistics, Machine Learning, Econometrics or related field.
- Strong experience applying ML and statistical modelling to product/business problems (personalisation, marketplace optimisation or forecasting).
- Proficient in Python and SQL; experience with productionising models and working with engineering teams.
- Experience designing experiments and interpreting causal/AB test results.
- Strong problem-framing, communication and stakeholder-management skills; able to translate technical results for non-technical partners.

## Responsibilities

Develop and deploy machine learning models to optimize marketplace dynamics, personalization, and forecasting. Partner with product and business leaders to translate ambiguous problems into scalable data products and measurement frameworks.

## Requirements

Requires a Master's or PhD in Data Science, Statistics, or a related field with strong proficiency in Python and SQL. Candidates must have experience applying ML to business problems and be fluent in English.

## FAQ

- **Is this Data Scientist  role still open?** It was posted on 2026-05-13. Listings more than 30 days old may no longer be active, so check Too Good To Go's site before applying.
- **Does Too Good To Go offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Too Good To Go's site.
- **Where is this role located?** The listing gives the location as København, Hovedstaden, Denmark. It is marked on-site.
- **What skills does this role ask for?** The listing names: Machine Learning, Statistical Modeling, Python, SQL, A/B Testing, Personalization, Recommendation Systems, Marketplace Optimization, Forecasting, Time Series Analysis, Causal Inference, Data Products, Experimentation Frameworks, Problem Framing, Stakeholder Management, Communication.

## More like this

- [All jobs at Too Good To Go](https://jobs.trythestack.co/companies/too-good-to-go.md)
- [Data Scientist Visa Sponsorship Jobs in Europe](https://jobs.trythestack.co/visa-sponsorship-jobs/role/data-scientist)
- [All visa sponsorship jobs in Denmark](https://jobs.trythestack.co/visa-sponsorship-jobs/denmark)
- [Senior Data Scientist, Buyer at Vinted](https://jobs.trythestack.co/jobs/senior-data-scientist-buyer-vinted.md)
- [Senior Data Scientist at Bitvavo](https://jobs.trythestack.co/jobs/senior-data-scientist-bitvavo.md)
- [Data Scientist at Thermo Fisher Scientific](https://jobs.trythestack.co/jobs/data-scientist-thermo-fisher-scientific.md)
- [Data Scientist - AI Search & Ranking at trivago](https://jobs.trythestack.co/jobs/data-scientist-ai-search-ranking-trivago-b8f7dae0.md)
- [Lead Data Scientist - Agentic AI / AML at Wise](https://jobs.trythestack.co/jobs/lead-data-scientist-agentic-ai-aml-wise.md)

## About The Stack

The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday.

- Newsletter: https://www.trythestack.co (subscribe: https://www.trythestack.co/subscribe)
- Jobs board: https://jobs.trythestack.co
- Hire or advertise through The Stack: https://jobs.trythestack.co/advertise

## Notes for agents

- Apply on the employer's page (https://job-boards.greenhouse.io/toogoodtogo/jobs/7683663003). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "data-scientist-too-good-to-go": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Data Scientist at Too Good To Go, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/data-scientist-too-good-to-go)".
- Structured data for many jobs at once: https://jobs.trythestack.co/developers/api.md
