(Senior) Data Scientist - Operations (m/f/n)
Kraków, Województwo małopolskie, Poland
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll bring
All qualificationsCore experience
- 3+ years in data science or ML roles
- Strong Python skills and experience with data/ML libraries
- Solid understanding of ML methods such as regression, clustering, forecasting
- Ability to translate business problems into data solutions
Qualification wording
~3+ years in Data Science / ML roles
Strong Python skills and experience with data/ML libraries
Solid understanding of ML methods (regression, clustering, forecasting, etc.)
Ability to translate business problems into data solutions
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- GCP
- Snowflake
- NumPy
- pandas
- scikit-learn
- TensorFlow
- PyTorch
- PySpark
Source — Tool mentions in context
- ~3+ years in Data Science / ML roles - Strong Python skills and experience with data/ML libraries - Experience working with large-scale datasets
You’ll join our Operations Data Science Team, solving some of the most complex and impactful logistics problems at scale. Your models won’t sit in notebooks - they will move millions of parcels every day! Tech stack: Python (Pandas, NumPy, Scikit-learn, PyTorch / TensorFlow), PySpark & distributed processing, Cloud platforms (Azure / GCP / AWS). Databricks, SQL & data warehouses
- Have built models that are used in production at scale - Have experience with PySpark / cloud (Databricks, GCP, AWS, Snowflake) - Have experience with ML Ops / CI/CD pipelines
Posting record
Report an errorLikely evergreenReposted 2 times since May 13, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
- Status in our records
- Live
- First seen by us
- Aug 24, 2026 · 66 days ago
- Recorded sightings
- 268
- Last seen by us
- Oct 29, 2026
- Reposted
- 2 times since May 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
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Job description
Job Description
Your work will include:
- Designing routing and allocation algorithms for parcel delivery
- Solving large-scale optimization problems (vehicles, routes, constraints, costs)
- Applying graph-based methods, clustering, regression and forecasting
- Building models that directly impact delivery speed, cost efficiency and customer experience
- Shipping solutions into production - not just experiments
Qualifications
What we’re looking for:
We don’t expect you to tick every box - but you should feel comfortable with complex problem-solving and working with messy real-world systems.
Must have:
- ~3+ years in Data Science / ML roles
- Strong Python skills and experience with data/ML libraries
- Experience working with large-scale datasets
- Solid understanding of ML methods (regression, clustering, forecasting, etc.)
- Ability to translate business problems into data solutions
You’ll stand out if you:
- Have worked on optimization problems (routing, scheduling, operations research)
- Know graph-based approaches or network problems
- Have built models that are used in production at scale
- Have experience with PySpark / cloud (Databricks, GCP, AWS, Snowflake)
- Have experience with ML Ops / CI/CD pipelines
- Are familiar with optimization techniques (linear programming, heuristics)
- Are familiar with Kedro or similar frameworks
Additional Information
Why join InPost?
- Opportunity to work in a diverse, international, and cross-functional environment, along with leading experts.
- You work and learn from a senior leader and their leadership team, expanding your experience and exposure in the e-commerce and logistics industries.
- InPost is a growing company that offers its people an increasing number of opportunities in several locations in Europe.
- Fulfilling careers with a range of benefits and investing in providing training opportunities for people development.
- You will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day.
- Excellent working environment and flexible hours
- We offer B2B type of contract
Company Description
InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 47,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option.
You’ll join our Operations Data Science Team, solving some of the most complex and impactful logistics problems at scale. Your models won’t sit in notebooks - they will move millions of parcels every day!
Tech stack: Python (Pandas, NumPy, Scikit-learn, PyTorch / TensorFlow), PySpark & distributed processing, Cloud platforms (Azure / GCP / AWS). Databricks, SQL & data warehouses
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Kraków, Województwo małopolskie, Poland
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- Work authorization
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