{"id":30314,"url":"https://alion.io/job/inpost-senior-data-scientist-personalisation-mfn","title":"(Senior) Data Scientist - Personalisation (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":"2026-10-17T05:46:00Z"}},"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":64000,"max_usd":96000,"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":"Machine Learning","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Kedro","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SciPy","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"Statsmodels","optional":true}],"status":"live","first_seen_at":"2026-06-19T07:54:32Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-19T02:11:21Z","board_verified":true,"closed_at":null,"days_open":121,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":121},"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.\nWe are seeking talented and passionate Data Scientists to join our Personalization Hub. In this role, you will leverage advanced analytical techniques and machine learning models to extract actionable insights from our complex data sets, driving strategic decision-making and operational excellence. You will collaborate closely with cross-functional teams to develop innovative solutions that enhance our logistics operations, improve efficiency, and elevate the customer experience.\nIf you have specialized knowledge in user, product and/or marketing data science (or want to gain it) - we would very much like to meet you! :)\n On a daily basis you will:\nPartner with our Product and Business Teams to understand their needs, translate them into data science solutions, and provide actionable insights. We work with all business products within InPost, e.g. InPost Mobile, Loyalty Programme, InPost Pay, among others.\n Develop and implement data science solutions (ML models, GenAI products, hybrid approaches, data analytics) to optimize marketing and products strategies, enhance user experience and shape targeting. \n Collaborate closely with cross-functional teams (e.g. other Data&AI teams, Technology teams) to ensure seamless integration of data-driven initiatives. \nStay ahead of the curve exploring cutting-edge methods and being on top of new trends in Data Science & AI. \nCommunicate insights and recommendations to the management and business teams, and other data community members.\nIn summary - you will have an opportunity to conduct end-to-end data products: exploring business needs (skills: understanding business, communication), analyze problems and propose thesis (data analytics), develop a solution (skills: hands-on ML/AI), present insights and results (skills: communication, translating technical stuff to non-technical people, ppt/BI), maintain the solution (skills: basic BI skills, model monitoring).\n Job requirements:\nEducation - Bachelor’s or Master’s degree in a relevant field, e.g. Data Science, Computer Science, Mathematics, Econometrics \nExperience - you have at least 3 years of commercial experience as a Data Scientist. Consulting and marketing analytics experience are a plus \nMindset - you are goal-oriented and independent, skilled in change and time management, business-conscious, able to think long-term and decompose business problems \n Languages - you are proficient in Polish and English (other languages knowledge is a plus).\nTechnical skills:\n Excellent knowledge of ML solutions and their impact on business and user experience (clustering, recommender systems, regression, classification, etc.). \nHands-on experience with working with large amounts of data.\nProficiency in Python 3, as well as ML and data analysis libraries (e.g. Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, TF/Pytorch, etc.). \nExperience in writing well-structured code: functions, classes, modules. \nKnowledge and experience in PySpark, relational databases, cloud solutions (e.g. Databricks, Azure, GCP, AWS, Snowflake). \nNice to have:\nExperience in leveraging CI/CD pipelines in data-based products.\nExperience with data pipelines framework, preferably Kedro. \nExperience with CLI tools: bash/zsh.\n Why join Us?\nImpact: Your work will directly influence strategic decisions and operational efficiencies across multiple international markets.\nInnovation: Be part of the team that's pushing boundaries of data analytics, working with the latest technologies and methodologies. \nGrowth: This role offers unparalleled opportunities for professional development in a data-driven, technology-forward environment.\nCollaboration: Engage with cross-functional teams, share knowledge and best practices, fostering a culture of continuous learning and improvement. \n We offer B2B type of Contract","description_format":"text","description_chars":4387,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":true},{"language":"Polish","level":"Advanced (C1)","optional":false}]},"benefits":["Continuous learning","Professional development"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Delivery","Logistics","Courier Services"],"lifecycle":[{"event":"open","at":"2026-06-19T07:54:32Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.465,"p_room":0.28,"age_days":119,"expected_fill_days":26,"reasons":["conf:1","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/inpost-senior-data-scientist-personalisation-mfn","json_url":"https://alion.io/job/inpost-senior-data-scientist-personalisation-mfn.json","meta":{"generated_at":"2026-10-19T05:25:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3231,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3343},"rest":"https://alion.io/mcp/rest/get_company?id=3343"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finpost-senior-data-scientist-personalisation-mfn"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Finpost-senior-data-scientist-personalisation-mfn"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Finpost-senior-data-scientist-personalisation-mfn"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/inpost-senior-data-scientist-personalisation-mfn\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finpost-senior-data-scientist-personalisation-mfn"}]}