About Our Team:
At our core, we are an analytics company. The insights we gain from our analyses guide our strategic path forward as we grow revenue, enter new markets, and strengthen our customer relationships. The Data Science team proactively leads and collaborates to identify the most valuable problems to solve, constructs a Roadmap to delivery, and executes our plan. All of the outputs of the Data Science team models will feed into the Product portfolio at DRIVIN, aiding tens of thousands of internal and external stakeholders in their decision-making processes.
About Our Candidate:
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Can think for themselves and discover new and insightful ways to solve difficult problems without having a clear roadmap laid out
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Can communicate effectively with data science teammates and non-technical audiences alike
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Can deliver quality code in an Agile framework that ships to a production environment
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Has confidence, hustle, energy, and drive – accountability is key and the impact of your work is crucial to our success
What You Will Be Doing:
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Own the development of predictive modeling and machine learning for data products helping to optimize the value and efficiency of our business
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Run experiments to measure model performance and build visualizations to communicate important performance metrics to a non-technical audience
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Work in an Agile environment with team members, delivering solutions quickly and continuously exploring ways to improve our results
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Work closely with colleagues in Engineering, Product, Operations, and Sales to structure problems and understand the impact across various departments within the company
What You Need to Be Successful:
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Candidates tend to have at least a Bachelor’s Degree in a quantitative field, but if you can explain how your experience and background can be leveraged as a senior contributor to a data science team we are all ears
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Significant experience (roughly 5 years) in a Data Science, Deep Learning, or Machine Learning position building data products in a production environment
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Experience in the full project lifecycle from requirements gathering to proof of concept to production delivery
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Experience designing and implementing machine learning models that are production-ready
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Experience coding with Python and SQL
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Experience with developing within a cloud environment. Amazon Web Services preferred
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Familiarity with the Agile framework for software delivery
Who We Are:
KAR Global powers the world’s most trusted automotive marketplaces through innovation, technology and people. Our end-to-end platform serves the remarketing needs of the world’s largest OEMs, dealers, fleet operators, rental companies and financial institutions.
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We’re a technology company delivering next generation tools to accelerate and simplify remarketing.
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We’re an analytics company leveraging data to inform and empower our customers with clear, actionable insights.
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And we’re an auction company powering the world’s most advanced and integrated mobile, digital and physical auction marketplaces.
DRIVIN, a KAR Global brand, is comprised of a team that is passionate about the intersection of data, technology and cars. As the Chicago-based innovation and data science hub for KAR, this team of data scientists and analysts creates new products to help power the company’s physical, online, and digital/mobile automotive auction marketplaces. DRIVIN was founded in 2015 and joined the KAR family of companies in April 2017. Since then, DRIVIN has expanded its capabilities across the organization, shifting from a transactional marketplace to a full-service data and analytics platform. The DRIVIN data engine is unmatched, fueling powerful insights and recommendations that help KAR’s customers optimize risk, price and automotive inventory.
We want you to be well and thrive. Our benefits package includes:
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Competitive compensation
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Insurance coverage that includes medical, dental, vision and life insurance
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Flexible spending account
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Wellness program
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401(k) with employer match
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Employee stock purchase program
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Paid holidays and generous paid time off
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Paid parental leave
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Learning and development resources
Source: Indeed.com
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