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.

We 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.

Our 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.

We are seeking a Data Scientist to be part of our new data and AI team.

The 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.

The Data Scientist will collaborate with cross-functional teams, and ensure the successful implementation and integration of data-driven solutions.

Responsibilities

• Collaborate with cross-functional teams, including engineering, product management and business stakeholders, to define project requirements and deliver data-driven solutions.
• Conduct advanced exploratory data analysis (EDA) to uncover insights, trends, and patterns in large and complex datasets.
• Experiment with new machine learning and AI techniques and assess their applicability to real-world product problems.
• Develop and implement scalable data pipelines and workflows to support the end-to-end data science lifecycle.
• Define appropriate evaluation methodologies and metrics to measure model and product performance.
• Communicate complex analytical concepts and results to non-technical stakeholders through clear and compelling data visualizations and presentations.
• Ensure the robustness, scalability, and performance of deployed models, monitoring their impact and iterating as necessary.
• Lead the development of custom machine learning models and algorithms tailored to specific business needs.

Requirements

• Bachelor'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.
• Strong programming skills in Python and/or Java.
• Experience with interrogating database systems (e.g., SQL).
• Strong expertise in designing machine learning systems and working with modern AI techniques (e.g., LLM, RAG, MCP).
• Demonstrated expertise in advanced descriptive and inferential statistics, including the ability to apply these techniques to large, imperfect data sets and real-world problems.
• Demonstrated expert knowledge in data analysis methods and tools.
• Demonstrated strong and effective verbal, written, and interpersonal communication skills.
• Must be team-oriented, possess a positive attitude, and work well with others.
• Driven problem solver with proven success in solving difficult problems.
• Consistently demonstrates quality and effectiveness in work documentation and organization.

Would be a plus:

• Expertise in time series analysis, NLP, deep learning, or reinforcement learning.
• Familiarity with MLOps practices including experiment tracking, model deployment, and CI/CD for data science workflows.
• Advanced understanding of A/B testing and causal inference.
• Experience working with unstructured data (e.g., text, images, audio, etc.).
• Advanced experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Experience working with cloud platforms (e.g., AWS, Azure, GCP) for data science workflows.
• Experience with real-time data processing technologies (e.g., Kafka).

Benefits

Benefits to enhance your experience:

• 24 days off each year plus extra vacation days based on years at Garmin and compensation for legal holidays.
• Health package subscription and yearly budget for glasses.
• Monthly budget for sports and wellbeing activities.
• Local and global career development programs (training, mentorship, technical and leadership development, and more).
• Access to e-learning platforms and support for technical conferences attendance.
• Loyalty bonus within the company, plus other special bonuses (for holidays and personal life events).
• Meal tickets.

Yours exclusively when part of our team:

• Significant discount for Garmin products.
• Employee stock purchase plan.
• Contribution to the retirement plan (Pillar 3).
• Garmin products available for testing and borrowing.
• A comprehensive event series championing wellbeing, sports, and community tailored to foster holistic health (featuring sports events, classes, hackathons, parties, and more).
• Other benefits which we invite you to discover along the recruitment process.

Garmin Cluj is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, national origin, sex, age or disability.