Senior Data Scientist – Operations

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🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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InPost Group

WebsiteLinkedInAll Job Openings

10,000+ employees

🛍️ eCommerce

🚗 Transport

📦 Logistics

eCommerce • Transport • Logistics

InPost Group is Europe's leading e-commerce enablement platform, specializing in out-of-home delivery services. Founded in 1999 by CEO Rafal Brzoska, InPost provides cost-effective and environmentally friendly delivery solutions through a robust network of Automated Parcel Machines (APMs) and courier services. The company also offers pick-up drop-off (PUDO) services, enhancing convenience and efficiency for e-commerce merchants across Europe. InPost is committed to sustainability, reducing carbon emissions significantly in its delivery processes. With operations in countries like Poland, France, Benelux, the UK, and Italy, InPost continues to expand its innovative technology solutions to drive long-term growth in the e-commerce sector.

📋 Description

• Design routing and allocation algorithms for parcel delivery • Solve large-scale optimization problems involving vehicles, routes, constraints, and costs • Apply graph-based methods, clustering, regression, and forecasting • Build models that improve delivery speed, cost efficiency, and customer experience • Ship solutions into production at scale • Solve complex logistics problems for InPost’s parcel delivery operations

🎯 Requirements

• ~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, including regression, clustering, and forecasting • Ability to translate business problems into data solutions • Experience with optimization problems such as routing, scheduling, or operations research (standout qualification) • Knowledge of graph-based approaches or network problems (standout qualification) • Experience building models used in production at scale (standout qualification) • Experience with PySpark and cloud platforms such as Databricks, GCP, AWS, or Snowflake (standout qualification) • Experience with MLOps / CI/CD pipelines (standout qualification) • Familiarity with optimization techniques such as linear programming and heuristics (standout qualification) • Familiarity with Kedro or similar frameworks (standout qualification)

🏖️ Benefits

• Opportunity to work in a diverse, international, and cross-functional environment • Work and learn from a senior leader and their leadership team • Increasing opportunities in several locations in Europe • Fulfilling careers with a range of benefits • Training opportunities for people development • Excellent working environment • Flexible hours