Location: Remote-North America (EST preferred)
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.

• We're a technology company delivering next generation tools to accelerate and simplify remarketing.
• We're an analytics company leveraging data to inform and empower our customers with clear, actionable insights.
• And we're an auction company powering the world's most advanced and integrated mobile, digital and physical auction marketplaces.

As 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 fully-remote Data Science team proactively leads and collaborates to identify the most valuable problems to solve, constructs a roadmap to delivery, and executes this plan. The outputs of the Data Science team's models and services feed into the product portfolio at KAR, aiding tens of thousands of internal and external stakeholders in their decision-making processes.
ABOUT OUR CANDIDATE:

• Is excited about building the best models to solve business problems and working with machine learning engineers and site reliability engineers to turn these models into production services
• Can think for themselves and discover new and insightful ways to solve difficult problems without necessarily having a clear roadmap laid out
• Can communicate effectively with data science teammates and non-technical audiences alike
• Can deliver quality code in an Agile framework that ships to a production environment
• Has confidence, hustle, energy, and drive - accountability is key and the impact of your work is crucial to our success
• Candidates will be hired into an appropriate level, so this can be a senior role for someone with the right experience

WHAT YOU WILL BE DOING:

• Build machine learning models to solve various business problems in various specializations (including computer vision, recommendations, and optimization systems)
• Partner with our machine learning engineers and site reliability engineers to improve model performance
• Engineer features required to build quality models and work with data engineers to architect ETL pipelines
• Work in an Agile environment with team members, delivering solutions quickly and continuously exploring ways to improve our results
• Work closely with colleagues in Product, Operations, and Sales to structure problems and understand the impact across various departments within the company

WHAT YOU NEED TO BE SUCCESSFUL:

• Experience (roughly 2+ years) in a Data Science position, building models that have been used in production environments
• Experience coding with and using Python, SQL, Docker, etc
• Experience developing within the Amazon Web Services ecosystem
• Experience in productionalizing machine learning models as services is a plus
• Experience with Kubernetes and EKS is a plus
• Experience working with GPUs/CUDA vis-à-vis Tensorflow, Torch, etc is a plus
• Familiarity with the Agile framework for software delivery

#techjobs
#techjobsdice