Garmin · 9 hours ago
Senior Data Scientist
Garmin is seeking a full-time Senior Data Scientist to provide technical leadership and strategic project planning for data science initiatives. The role involves leveraging advanced data science techniques to drive innovation and deliver actionable insights, while collaborating with cross-functional teams and mentoring junior staff.
Consumer ElectronicsConsumer GoodsElectrical DistributionElectronics
Responsibilities
Lead the design, development, and deployment of advanced AI/ML models and algorithms to solve complex business problems
Develop and integrate the AI agents/solutions seamlessly with existing Contract Management Systems (CMS) and document repositories
Lead the design and implementation of end-to-end Retrieval-Augmented Generation (RAG) pipelines to ground LLMs with up-to-date and authoritative external data
Manage the entire data flow for RAG, including document chunking, metadata management, and generating high-quality vector embeddings using state-of-the-art embedding models
Evaluate, select, and manage vector databases (e.g., Pinecone, Weaviate, Qdrant) and indexing techniques (e.g., HNSW) to ensure fast and accurate semantic search and retrieval
Continuously iterate on the RAG components, including retrieval algorithms and prompt engineering strategies, to maximize the contextual relevance and quality of generated responses
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, legal, product management and business stakeholders, to define project requirements and deliver data-driven solutions
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
Stay current with the latest advancements in data science, machine learning, and AI including LLMs, RAG frameworks (e.g., LangChain, LlamaIndex), and vector database technologies, and apply this knowledge to drive innovation within the company
Own team-level success by monitoring, modifying and creating team processes to help ensure consistency, continuity, efficiency and impact in analysis and ML pipelines
Mentor and guide junior team members, sharing best practices and providing constructive feedback
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
Qualification
Required
Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) 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
Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
Extensive experience using systems such as SQL, Python, or R
Strong expertise in machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
Proven hands-on experience in fine-tuning Large Language Models (LLMs) and deep understanding of their architectures (e.g., Transformers)
Strong experience designing and deploying RAG systems and building high-performance semantic search and retrieval pipelines
Practical experience with vector embeddings and working with vector databases for production-grade applications
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
Preferred
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.)
Proficiency with cloud platforms (e.g. AWS, Azure, GCP) for data science workflows
Experience with real-time data processing technologies (e.g. Apache, Kafka)
Benefits
Garmin's benefit program
Company
Garmin
WHERE DO WE START? How about Kansas City? That’s our home. That’s where Garmin put a stake in the ground in 1989.
H1B Sponsorship
Garmin has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (69)
2024 (61)
2023 (40)
2022 (85)
2021 (85)
2020 (76)
Funding
Current Stage
Late StageTotal Funding
unknown2007-01-04Acquired
Leadership Team
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2025-10-07
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