Senior Data Scientist

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Senior From the posting source

Schedule

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Weekend work

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Company

Equity

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Senior Data Scientist Olathe, Kansas Overview We are seeking a full-time Senior Data Scientist at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for providing technical leadership and strategic project planning for data science initiatives related to new products, applications, or systems within the company. This role involves leveraging advanced data science techniques to drive innovation and deliver actionable insights that support business objectives. The Senior Data Scientist will collaborate with cross-functional teams, mentor junior data scientists, and ensure the successful implementation and integration of data-driven solutions. Essential Functions 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

Read the full description at careers-garmin.icims.com. FewerJobs shows a preview and links to the original posting.