Data Scientist at Garmin

Cluj-Napoca, Cluj County, Romania

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Fitness, OutdoorIndustries

Requirements

Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Math or Physics or a technical field 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
(Plus) Advanced experience with structured database management systems and distributed computing
(Plus) Expertise in time series analysis, NLP, deep learning, or reinforcement learning
(Plus) Leadership in MLOps, model deployment

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

Skills

Key technologies and capabilities for this role

Machine LearningAlgorithmsExploratory Data AnalysisData PipelinesData VisualizationsPythonSQLScalable Workflows

Questions & Answers

Common questions about this position

What is the work location or arrangement for this role?

The position is hybrid.

What education and experience are required for this Data Scientist position?

A Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Math, Physics, or a related technical field is required, along with a minimum of 5 years of relevant experience.

What are the key responsibilities of this Data Scientist role?

Key responsibilities include leading the design and deployment of machine learning models, providing technical leadership and mentorship to junior data scientists, conducting exploratory data analysis, developing scalable data pipelines, and collaborating with cross-functional teams.

What is the team structure or culture like at Garmin for this role?

The role involves collaborating with cross-functional teams including engineering, product management, and business stakeholders, providing mentorship to junior data scientists, and fostering a culture of continuous learning, improvement, and peer reviews.

What makes a strong candidate for this Data Scientist position?

Strong candidates will have the required bachelor's degree and 5+ years of experience, plus demonstrated ability to lead ML projects, mentor juniors, drive strategic data initiatives, and communicate insights to non-technical stakeholders.

Garmin

Develops GPS technology and wearable devices

About Garmin

Garmin specializes in GPS technology and wearable devices, catering to a wide range of customers including individuals and businesses. The company develops and sells products such as smartwatches, fitness trackers, and navigation systems. Garmin's devices work by utilizing GPS signals to provide accurate location tracking and health monitoring features. For instance, their wearables can track fitness metrics while their navigation systems assist in route planning. What sets Garmin apart from competitors is its strong brand reputation and a diverse ecosystem of products and services that enhance user experience. The company's goal is to continuously innovate and meet the changing needs of its customers in various markets, including fitness, outdoor recreation, aviation, marine, and automotive.

Olathe, KansasHeadquarters

1989Year Founded

IPOCompany Stage

Hardware, Enterprise Software, Consumer GoodsIndustries

5,001-10,000Employees

Risks

Increased competition from Apple and Samsung in the wearable tech market.

Supply chain vulnerabilities, especially in semiconductors, could impact Garmin's production.

Rapid AI advancements may outpace Garmin's current capabilities, risking competitive edge.

Differentiation

Garmin's strong brand reputation enhances its market presence across diverse sectors.

The company offers a comprehensive ecosystem of GPS and wearable technology products.

Garmin's strategic partnerships, like with Qualcomm, drive innovation in digital cockpits.

Upsides

Growing demand for health wearables boosts Garmin's sensor technology innovation.

AI integration in navigation systems offers Garmin opportunities for intelligent GPS solutions.

The rise of EVs creates demand for advanced navigation systems, benefiting Garmin.

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