Data Scientist II

July 30

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Driving the future of automotive retail.

Digital Marketing • Automotive Online Advertising • Automotive Industry • Mobile Marketing • Automotive Online Marketplace

1001 - 5000

Description

• Collaborate with product and engineering teams to define, design, build and deploy machine learning models and frame AB tests • Understand business impact of models and monitor model performances to make sure model outputs are of good quality at all times • Apply robust and maintainable coding practices to ensure model outputs are provided reliably and efficiently at all times • Work with business partners to identify business opportunities and trends • Communicate modeling methodologies and analytical findings to business stakeholders • Stay up-to-date with latest technology trends and publish research articles on science and innovations

Requirements

• 2+ years professional experience in developing machine learning models with a MS in machine-learning, applied mathematics or related quantitative fields • Understanding of supervised, unsupervised machine learning and deep learning concepts • Exposure to and understanding of GenAI concepts, models and tooling preferred • Experience with entire pipeline of deploying machine learning algorithms including development, validation, implementation and production launch • Strong coding skills in Python/PySpark and good at writing SQL queries • Understanding of AWS ecosystem • Be flexible in working on diverse problems instead of focusing on a particular ML area like Image Recognition, Natural Language Processing etc. • Understanding of coding best practices and familiar with version control tools

Benefits

• Medical, Dental & Vision Healthcare Plans • 401(k) with Company Match + Immediate Vesting • New Hire Stipend for Home Office Set-Up • Employee Stock Purchase Program • Generous PTO • Refuel - a service based recognition program where employees receive additional paid time away to learn grow and reset • Paid Holidays, Floating Holiday, Volunteer Day, Recharge Day • Learn more about our Benefits, Perks, & Culture on our LinkedIn Life Pages!