Data Scientist II

Be essential at Cars Commerce

At Cars Commerce, we’re fanatical about simplifying everything about car buying and selling. We do right by our customers and consumers to better connect the industry with simplified and tierless technology to enhance, measure and drive local automotive retail. Whether through our No.1 most recognized marketplace, Cars.com, our industry-leading digital experience, Dealer Inspire, our trade and appraisal technology, Accu-Trade, or our new Cars Commerce Media Network, Cars Commerce is essential for success in the automotive industry.  

No one ever travels alone here: at its core, Cars Commerce is collaboration. In fact, it’s built into the very fabric of our shared values. We like to say we Rise Together – putting people at the center of what we do, from consumer to customer to community. Life at Cars Commerce makes it easy when we share the ethos to be Open to All, encouraging open-minded communication because we know diverse thinking yields better outcomes. But critical to our success is Caring to Challenge and Taking Ownership, fueling a competitive spirit in a respectful environment where we think about tomorrow but act today. At our foundation, we have integrity, Doing the Right Thing, even when it’s hard. It’s our shared commitment to these values that makes Cars Commerce a place where growth becomes not only possible, but downright unavoidable.

But don’t take our word for it. As a U.S. News & World Report Best Company to Work For in 2024, we're obsessive about the employee experience. We are among the top 20% being declared “Best” of our industry based on six critical factors that are important to employee wellbeing, like quality of pay, benefits, work life balance and more.

About the Team:

Data Science @ Cars Commerce is a group of collaborative and humble individuals from diverse backgrounds. We are actively involved in the open source community and regularly participate in Data Science events. We learn from each other through regular algorithmic/code review sessions and stay connected through coffee chats in this remote world.

About the Projects:

We deliver scalable ML products that are served to millions of users through our website and mobile app. Search, Recommendation Systems, Pricing and Churn are some of the example projects that we actively work on. Right from the start, each team member will own a product(s) and as the time progresses, you will gain exposure to working on diverse areas of ML. The team maintains a healthy balance between research projects and immediate deliverables.

On a typical week you will:

• 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 

Preferred:

• PhD/Masters in statistics, econometrics, machine-learning, applied mathematics or related quantitative field
• Experience in building end to end Machine Learning systems

#LI-KO1 #LI-REMOTE

In the spirit of pay transparency, we are excited to share the base salary range for this position which is not inclusive of bonuses, benefits or other forms of compensation that the position may be eligible f