at Garmin International in Olathe, Kansas, United StatesJob DescriptionOverviewWe are seeking a full-time Senior Data Scientist in our Olathe, KS location. In this role, you will be responsible for applying your statistics and technical skills to help various parts of Garmin's business make better business decisions, products and user experiences.Essential FunctionsRegularly teach leaders about how data might be better leveraged as well as advise decision makers on strategically important issuesServe as subject matter expert in topics like analysis best practices, successful data project management and effectively presenting informationIdentify opportunities to leverage internal company and external datasets to drive business solutionsMine and analyze data to drive optimization/improvement of product development, marketing techniques or operations strategiesAssess the effectiveness/accuracy of new data sources and data gathering techniquesDrive improvement of data quality of existing datasets and advocate for the collection of new data likely to further improve actionable insightsProactively search for/act on ideas to improve team quality, efficiency and overall ability, demonstrate commitment to the success of the entire data team, adapt teaching methods to the needs of teammates, and excels at collaborating with a team of researchersParticipate in project definition activities and set business expectations with what is possible given data that currently existsDevelop custom data models/algorithms to apply to datasets and use predictive modeling to increase/optimize user experiences, revenue generation, and other business initiativesCoordinate with different functional teams to implement models and monitor outcomesDevelop processes and tools to monitor and analyze model performance and data accuracyPossess a drive to learn and master new technologies and techniquesVisualize/present data for stakeholders using intriguing/interesting graphics/technologiesProvide technical direction, mentoring, training and guidance to other individual contributors in the groupAble to identify/create the appropriate research design for a given research questionConvey complex technical/statistical concepts in an easy to understand way and translate business problems/questions into appropriate research questions, data gathering and statistical analysis methodsProvide clear, actionable steps to be taken based from data analysis and can articulate the caveats/weaknesses of a given datasetNot only use quantitative skills to answer questions directly posed by business, but also proactively seek out questions whose answers would also benefit the businessConstantly identify/present opportunities to capture new data or leverage existing data in new ways to improve business insightsAdept at evaluating business questions and differentiating between what is interesting versus valuableAdept at condensing large-scale analysis efforts into succinct, easy-to-understand visualizations that are actionableAble to conduct peer reviews in an open, honest and respectful mannerIntellectually curious and constantly digging into data to gain a better understanding and yearns to continually learn new tools, skills and conceptsProvide quarterly classes for team members to learn Data Science techniques and technologiesBasic QualificationsBachelor's Degree in Computer Science, Applied Statistics, or related degree with a Data Science or Applied Statistics Emphasis AND a minimum of 5 years relevant experience.Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity
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Location: Kansas
Posted: Oct. 7, 2024, 9:36 a.m.
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