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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist 2 - **Company:** Garmin Ltd - **Location:** Olathe, KS, United States - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Big Data, Databases, Computer Engineering, Continuous Integration, Data Visualization, Distributed Systems, Python (Programming Language), Machine Learning, Natural Language Processing, NoSQL, Tensorflow, Software Engineering, SQL Databases, Unstructured Data, Reinforcement Learning, Pytorch, Apache Spark, Garmin, Deep Learning, Model Validation, Matplotlib, Scikit Learn, Information Technology, Data Analytics, Dask, Machine Learning Operations, Data Pipelines - **Published:** September 20, 2026 - **Apply:** https://www.jofdav.com/jobs/59796603-data-scientist-2 ## About the Role * 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 1 year of relevant experience * Experience using systems such as SQL, Python, or R * Strong knowledge of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) * Demonstrated understanding of advanced descriptive and inferential statistics * Demonstrates 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 Desired Qualifications * Experience with structured database management systems * Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or reinforcement learning) * Hands-on experience with MLOps, model deployment, and CI/CD for data science workflows * Exposure to distributed computing (e.g., Spark, Dask) and NoSQL databases * Understanding of A/B testing and causal inference * Experience working with unstructured data (text, images, audio, etc.) * Familiarity with data visualization tools (i.e. Matplotlib, Seaborn) ## Description * Under guidance or with minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources * Conduct advanced exploratory data analysis (EDA) to identify trends, patterns, and anomalies that inform modeling efforts * Design, implement, and refine predictive models using machine learning and statistical methodologies * Collaborate with cross-functional teams to translate data-driven insights into product and strategy recommendations * Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to enhance efficiency * Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to improve model performance * Support integration of models into production systems by coordinating with functional and technical teams and monitoring performance post-deployment * Assist in developing and maintaining processes and tools to ensure model performance, reliability, and data quality * Create and present compelling data visualizations and reports using advanced graphics and visualization tools * Identify and leverage both internal and external datasets to drive innovation and support business solutions * Contribute to the development of custom machine learning models and algorithms across diverse datasets * Apply predictive modeling to improve user experiences, support revenue growth, and enable data-driven insights * Support the definition of project scope and business expectations based on data-driven insights * Provide mentorship and share best practices with junior team members under the guidance of senior staff * Participate in peer reviews and contribute to the continuous improvement of team processes * Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies * Ensure data quality, adherence to governance standards, and compliance with data privacy and AI-related regulations ## Related Videos - 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