Hybrid Data Scientist

at Garmin Cluj

• Job title: Data Scientist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Apache, AWS, Azure, Cloud, Google Cloud Platform, Kafka, Python, PyTorch, Scikit-Learn, SQL, Tableau, Tensorflow
• Location requirements: Hybrid, Cluj Napoca, Romania

About the role

• Data Scientist providing technical leadership for data science projects at Garmin. Collaborates with teams to drive innovation through data-driven insights.

Responsibilities

• Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems.
• Provide technical leadership and mentorship to junior data scientists, fostering a culture of continuous learning and improvement.
• Drive the strategic planning and execution of data science projects, ensuring alignment with business goals and timelines.
• 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.
• Develop and implement scalable data pipelines and workflows to support the end-to-end data science lifecycle.
• Evaluate and integrate new data science techniques, tools, and technologies to enhance the company’s data capabilities.
• 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.
• Champion best practices in data science, including data governance, model validation, and ethical AI considerations.
• Identify and prioritize opportunities for leveraging data to drive business growth and operational efficiency.
• Lead the development of custom machine learning models and algorithms tailored to specific business needs.
• Own team-level success by monitoring, modifying and creating team processes to help ensure consistency, continuity, efficiency and impact in analysis and ML pipelines.
• Pioneer peer reviews and foster a culture of continuous improvement and learning.
• Develop and enforce data governance policies and procedures to ensure data integrity and security.
• Monitor compliance with data privacy laws and regulations and implement measures to protect sensitive information.

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.
• Extensive experience using systems such as SQL, Python, or R.
• Strong expertise in machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch).
• Demonstrated expertise in advanced descriptive and inferential statistics, including the ability to apply these techniques to complex 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***
• Advanced experience with structured database management systems and distributed computing.
• Expertise in time series analysis, NLP, deep learning, or reinforcement learning.
• Leadership in MLOps, model deployment, and CI/CD for data science workflows.
• Advanced understanding of A/B testing and causal inference.
• Experience working with unstructured data (text, images, audio, etc.).
• Advanced experience with data visualization tools (i.e. 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. Apache, 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.