{"id":3966682,"url":"https://alion.io/job/epam-systems-poland-senior-data-scientist","title":"Senior Data Scientist","company":{"id":2612641,"name":"EPAM Systems Poland","domain":"epam-poland.pl","url":"https://alion.io/company/epam-poland","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Time Series","optional":false},{"name":"Anthropic","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Linux","optional":true},{"name":"MLFlow","optional":true},{"name":"Platform Engineering","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-11-09T12:05:23Z","employer_posted_date":null,"last_verified_at":"2026-11-09T12:05:23Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are looking for a Senior Data Scientist to join our team.\nThis job is about turning data into actionable knowledge, which requires a blend of scientific, problem-\nsolving, analytical, technical, and communication skills. The role is primarily focused on (but not limited\nto) solving business problems in the technological domain of Data Science.\nResponsibilities\nIdentify business problems, find the right data and methods to address them\nProcess large volumes of structured and unstructured customer data using advanced analytical solutions\nTurn analyzed data into unique actionable insights and business value\nCreate high-quality data visualizations\nCreate data pipelines for feature engineering, missing values treatment, outliers' detection, etc\nPerform research, build, and validate analytical, mathematical, econometric, descriptive, and predictive models that deliver better decisions across a broad range of industries and data sources\nEstimate, plan and coordinate the delivery of moderate/large sized projects\nEvaluate and select the best matching Data Science tools and libraries\nPresent findings in a clear and informative way\nCommunicate effectively with different departments and roles (stakeholders, product managers, engineers) to discuss complex data-driven findings and technical matters\nContinuously develop knowledge base within the Data Scientists team, participate in common brainstorming sessions\nEducate junior and middle Data Scientists\nRequirements\n3+ years of relevant experience working with a variety of information systems and data\nWriting high-quality Python code according to PEP-8 guidelines\nStrong knowledge of various data exploration and analysis techniques, ability to build models or analytical frameworks, develop hypotheses, and design experiments\nAdvanced knowledge in one of the domains: Computer Vision, Time Series, Natural Language Processing, Recommendation Systems, Predictive Analytics\nKnowledge of EDA, classical vs advanced Machine Learning models, model performance metrics and losses, model fine-tuning\nKnowledge of pros&cons for SOTA ML architectures and applicable use cases for them\nUnderstanding of ML projects' life cycle and ability to follow methodology processes (CRISP-DM, TDSP, LeanDS, etc.) used in data science projects\nAbility to design and supervise data labeling process\nAbility to interpret and report results of analyses, provide business recommendations; ability to coach and train others\nNice to have\nStrong academic background, Bachelor's / Master's Degree in Computer Science, Math, Applied Statistics, or a related field\nMachine Learning Engineering mindset, experience with Docker, Linux, CI/CD, MLflow, etc\nProjects completed using different methodology/models or knowledge of one of the Deep Learning frameworks (PyTorch, TensorFlow)\nExperience with ML services of cloud providers: AWS, Azure, or GCP\nExperience with PySpark\nSome experience in ML project technical leadership\nWe offer\nWe gather like-minded people:\nTop tech minds driving innovation in AI, cloud and digital platform modernization\nSupportive team and agile, startup-like culture\nHybrid by design mode and opportunity to work remotely within Poland\nChance to work abroad for up to 60 days annually\nBusiness-driven relocation opportunities\n\nWe provide growth opportunities:\nCareer development programs\nThought leadership, mentoring, soft skills and well-being programs\nCertification (Anthropic, Gemini, GCP, Azure, AWS)\nEnglish classes\n\nWe cover it all:\nStable pay\nParticipation in the Employee Stock Purchase Plan with a 15% discount\nBenefits package (health insurance, multisport, shopping vouchers)\nReferral bonuses up to $2,000\nOffices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more\nCorporate, social and well-being events\n\nPlease, note:\nBenefits listed above are available to employees only\nWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually\nWe will reach out to selected candidates exclusively\n\nEPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.\nTech stack\nPython\nMachine Learning\nFeature Engineering\nExploratory Data Analysis\nNatural Language Processing\nData Visualization","description_format":"text","description_chars":4533,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Growth opportunities","Health insurance"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-09T14:25:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":14,"reasons":["seen:0","velocity","win:early","comp:brand"],"computed_at":"2026-11-10T06:52:35Z"},"pay":null,"html_url":"https://alion.io/job/epam-systems-poland-senior-data-scientist","json_url":"https://alion.io/job/epam-systems-poland-senior-data-scientist.json","meta":{"generated_at":"2026-11-10T17:11:33Z","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":5618,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":2612641},"rest":"https://alion.io/mcp/rest/get_company?id=2612641"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fepam-systems-poland-senior-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fepam-systems-poland-senior-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fepam-systems-poland-senior-data-scientist"},{"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/epam-systems-poland-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fepam-systems-poland-senior-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3966682}},{"tool":"search_jobs","arguments":{"company":"epam-poland.pl","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3966682},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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