{"id":2078641,"url":"https://alion.io/job/garmin-data-scientist","title":"Data Scientist","company":{"id":13697,"name":"Garmin","domain":"garmin.com","url":"https://alion.io/company/garmin-newsroom","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"C","score":62,"open_postings":27,"ghost_share":0.63,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cluj-Napoca, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":75000,"period":"year","method":null,"sample_n":4222},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"A/B Testing","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"Matplotlib","optional":true},{"name":"NLP","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Seaborn","optional":true},{"name":"Tableau","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-10-08T09:00:18Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-11T00:50:37Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":1},"description":"At Garmin we create products that are designed indoors for outdoor activities. We do this to enable our customers to make the most of their time spent pursuing their passions.\nWe recognize the value of flexibility in supporting employee well-being, work-life balance, and effective collaboration. Associates may work from home up to four days per month, or one day per week, while remaining connected to the teams and culture that help us do our best work.\nOur roles are primarily office-based because we believe the best ideas, innovation, and strongest professional relationships are built through in-person collaboration, making regular team interaction an important part of our culture and future success.\nWe are seeking a Data Scientist to be part of our new data and AI team.\nThe role combines data science, machine learning, AI, experimentation, and software engineering, with opportunities to contribute throughout the lifecycle of a solution, from exploration and prototyping through deployment and monitoring.\nThe Data Scientist will collaborate with cross-functional teams, and ensure the successful implementation and integration of data-driven solutions.\nResponsibilities\nCollaborate with cross-functional teams, including engineering, product management and business stakeholders, to define project requirements and deliver data-driven solutions.\nConduct advanced exploratory data analysis (EDA) to uncover insights, trends, and patterns in large and complex datasets.\nExperiment with new machine learning and AI techniques and assess their applicability to real-world product problems.\nDevelop and implement scalable data pipelines and workflows to support the end-to-end data science lifecycle.\nDefine appropriate evaluation methodologies and metrics to measure model and product performance.\nCommunicate complex analytical concepts and results to non-technical stakeholders through clear and compelling data visualizations and presentations.\nEnsure the robustness, scalability, and performance of deployed models, monitoring their impact and iterating as necessary.\nLead the development of custom machine learning models and algorithms tailored to specific business needs.\nRequirements\nBachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Math or Physics or a technical relevant to the essential functions of this job description AND a minimum of 5 years of relevant experience OR an equivalent combination of education and relevant experience.\nStrong programming skills in Python and/or Java.\nExperience with interrogating database systems (e.g., SQL). \nStrong expertise in designing machine learning systems and working with modern AI techniques (e.g., LLM, RAG, MCP).\nDemonstrated expertise in advanced descriptive and inferential statistics, including the ability to apply these techniques to large, imperfect data sets and real-world problems.\nDemonstrated expert knowledge in data analysis methods and tools.\nDemonstrated strong and effective verbal, written, and interpersonal communication skills.\nMust be team-oriented, possess a positive attitude, and work well with others.\nDriven problem solver with proven success in solving difficult problems.\nConsistently demonstrates quality and effectiveness in work documentation and organization.\n Would be a plus:\nExpertise in time series analysis, NLP, deep learning, or reinforcement learning.\nFamiliarity with MLOps practices including experiment tracking, model deployment, and CI/CD for data science workflows.\nAdvanced understanding of A/B testing and causal inference.\nExperience working with unstructured data (e.g., text, images, audio, etc.).\nAdvanced experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).\nExperience working with cloud platforms (e.g., AWS, Azure, GCP) for data science workflows.\nExperience with real-time data processing technologies (e.g., Kafka).\nBenefits\n Benefits to enhance your experience:\n24 days off each year plus extra vacation days based on years at Garmin and compensation for legal holidays.\nHealth package subscription and yearly budget for glasses.\nMonthly budget for sports and wellbeing activities.\nLocal and global career development programs (training, mentorship, technical and leadership development, and more).\nAccess to e-learning platforms and support for technical conferences attendance.\nLoyalty bonus within the company, plus other special bonuses (for holidays and personal life events).\nMeal tickets.\n Yours exclusively when part of our team:\nSignificant discount for Garmin products.\nEmployee stock purchase plan.\nContribution to the retirement plan (Pillar 3).\nGarmin products available for testing and borrowing.\nA comprehensive event series championing wellbeing, sports, and community tailored to foster holistic health (featuring sports events, classes, hackathons, parties, and more).\nOther benefits which we invite you to discover along the recruitment process.\nGarmin Cluj is an equal opportunity employer. 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