{"id":2113076,"url":"https://alion.io/job/link-group-data-scientist-4","title":"Data Scientist","company":{"id":3913591,"name":"Link Group","domain":"linkgroup.pl","url":"https://alion.io/company/link-group-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":17000,"max":22000,"currency":"PLN","period":"month","gross":null,"usd_annual":67536},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"A/B Testing","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Seaborn","optional":true}],"status":"live","first_seen_at":"2026-09-16T22:01:14Z","employer_posted_date":null,"last_verified_at":"2026-09-16T22:01:14Z","board_verified":false,"closed_at":null,"days_open":30,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":30},"description":"At Link Group, we specialize in building tech teams for Fortune 500 companies and some of the world's most exciting startups. Our mission is to connect talented professionals with opportunities that align with their skills, interests, and career aspirations.\n\nWe are currently looking for a Data Scientist to join our team and work on innovative, data-driven projects for global clients.\n\nAbout the Project\nThe project involves leveraging advanced data analytics and machine learning techniques to generate insights and predictions for the finance/stock exchange industry. You will work on developing predictive models, data pipelines, and decision-making tools to improve financial performance and drive innovation.\n\nTech Stack\n\nPython (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)\n\nSQL/NoSQL databases\n\nBig Data technologies (Hadoop, Spark)\n\nData visualization tools (Tableau, Power BI, Matplotlib, Seaborn)\n\nCloud platforms (AWS, Azure, GCP)\n\nVersion control tools (Git)\n\nWhat We Offer\n\nTailored opportunities to match your professional interests and goals.\n\nA leadership role in a dynamic and collaborative work environment.\n\nAccess to exciting and diverse projects for global clients.\n\nCompetitive compensation aligned with your expertise.\n\nOngoing opportunities for professional growth and development.\n\nIf you're ready to take on a leadership role and work on groundbreaking projects in the IT industry, we'd love to hear from you!\n\nApply today and join us at Link Group to make an impact!\nZakres obowiązków\nAnalyze large, complex datasets to identify trends, patterns, and actionable insights.\nDevelop predictive models and machine learning algorithms to solve business problems.\nDesign and implement data pipelines for preprocessing and transforming raw data.\nVisualize data and present findings in a clear, actionable way to stakeholders.\nCollaborate with engineers and domain experts to deploy data-driven solutions.\nResearch the latest advancements in data science to improve methodologies and tools.\nWymagania\nMust-Have Qualifications\n\nAt least 3+ years of experience in data science or a related field.\n\nStrong proficiency in Python and data analysis libraries (e.g., Pandas, NumPy).\n\nSolid understanding of machine learning techniques and algorithms.\n\nExperience with SQL/NoSQL databases for querying and managing data.\n\nFamiliarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).\n\nKnowledge of version control tools like Git.\n\nStrong problem-solving and critical-thinking skills.\n\nGood command of English.\n\nNice to Have\n\nExperience with Big Data technologies like Hadoop or Spark.\n\nKnowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).\n\nFamiliarity with cloud platforms such as AWS, Azure, or GCP.\n\nUnderstanding of statistical modeling and A/B testing.\n\nAcademic background in Computer Science, Mathematics, Statistics, or a related field.\n\nTech stack\nPython\nData science\nData analysis\npandas\nNumPy\nMachine learning\nSQL\nNoSQL\nData visualization\nTableau\nPower BI\nMatplotlib\nGit\nBig data\nHadoop\nSpark\nDeep learning\nTensorFlow\nPyTorch\nCloud 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