{"id":131061,"url":"https://alion.io/job/inpost-senior-data-scientist-operations-mfn-2","title":"(Senior) Data Scientist - Operations (m/f/n)","company":{"id":3343,"name":"InPost","domain":"inpost.eu","url":"https://alion.io/company/inpost","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":92000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":72},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Kedro","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Azure","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-08-24T10:22:55Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-20T01:13:55Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":56},"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.\nYou’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!\nTech stack: Python (Pandas, NumPy, Scikit-learn, PyTorch / TensorFlow), PySpark & distributed processing, Cloud platforms (Azure / GCP / AWS). Databricks, SQL & data warehouses\n Your work will include:\nDesigning routing and allocation algorithms for parcel delivery \nSolving large-scale optimization problems (vehicles, routes, constraints, costs) \nApplying graph-based methods, clustering, regression and forecasting \nBuilding models that directly impact delivery speed, cost efficiency and customer experience \nShipping solutions into production - not just experiments \n What we’re looking for:\nWe don’t expect you to tick every box - but you should feel comfortable with complex problem-solving and working with messy real-world systems.\nMust have:\n~3+ years in Data Science / ML roles \nStrong Python skills and experience with data/ML libraries \nExperience working with large-scale datasets \nSolid understanding of ML methods (regression, clustering, forecasting, etc.) \nAbility to translate business problems into data solutions \nYou’ll stand out if you:\nHave worked on optimization problems (routing, scheduling, operations research) \nKnow graph-based approaches or network problems \nHave built models that are used in production at scale \nHave experience with PySpark / cloud (Databricks, GCP, AWS, Snowflake) \nHave experience with ML Ops / CI/CD pipelines \nAre familiar with optimization techniques (linear programming, heuristics) \nAre familiar with Kedro or similar frameworks \n Why join InPost?\nOpportunity to work in a diverse, international, and cross-functional environment, along with leading experts.\nYou work and learn from a senior leader and their leadership team, expanding your experience and exposure in the e-commerce and logistics industries.\nInPost is a growing company that offers its people an increasing number of opportunities in several locations in Europe.\nFulfilling careers with a range of benefits and investing in providing training opportunities for people development.\nYou will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day.\nExcellent working environment and flexible hours\nWe offer B2B type of contract","description_format":"text","description_chars":3002,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Delivery","Logistics","Courier Services"],"lifecycle":[{"event":"open","at":"2026-08-24T10:22:55Z"}],"visa":[],"liveness":{"score":20,"band":"cold","label":"Long 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