Vroom
Other Open Roles
- Team Lead, BI Engineering
- Senior Data Analyst, Advanced Analytics
- Machine Learning Operations Engineer
- Senior Supply Chain Analyst, Advanced Analytics
Prior Listings
- Manager, Data Science
- Data Analyst
- Sr. Data Analyst, Product
- Associate Data Analytics Engineer
- Machine Learning Engineer
- Data Scientist
- Data Analytics Engineer
- Senior Data Scientist
- Manager, Advanced Analytics Supply Chain
- Sr. Director of Data Infrastructure
- Team Lead, BI Engineering
- Sr Data Analyst
- Senior Advanced Analytics Analyst
- Senior Advanced Analytics Analyst
- Senior Advanced Analytics Analyst
Data Scientist
Data Scientist
Vroom is an innovative end-to-end ecommerce company that is revolutionizing the car buying experience. Our scalable, data-driven technology brings all phases of the vehicle buying and selling process to consumers wherever they are and offers an extensive selection of vehicles, transparent pricing, competitive financing, and contact-free, at-home pick-up and delivery. We have experienced tremendous growth and have become a disruptive force in the automotive industry. Vroom is an exciting, dynamic workplace, and there's no better time to join the team than right now.
Vroom's Data Team is looking for a Data Scientist who will focus on making continuous improvements to the website. This candidate will be responsible for customization of the customer experience. E-commerce industry, modeling and forecasting experience is required.
We value your personal growth, and will gladly train you on any of our technologies that you don't currently have. Ours is a culture where your voice will be heard, and you'll be able to see the result of your work! We're one of the few players in the ecommerce automotive space. As a member of our crew, you will become an industry expert.
Responsibilities
Own end -to-end ML/analytics pipelines and work with stakeholders to develop deep domain expertise on associated business processes.
Build, validate, and maintain predictive models to increase and optimize conversion, customer experience, and other business outcomes.
Identify standard and novel data solutions to assess consumer-related demand levels and other market indicators.
Acquire, organize and leverage insights derived from large datasets.
Collaborate with different functional teams to rapidly deploy newly developed models, maintain existing ones, and run ad-hoc analyses as needed.
Propose solutions and strategies to business challenges.
Present proposed solutions and results to stakeholders.
Requirements
Bachelor's Degree in Quantitative Sciences (Computer Science, Mathematics/Statistics, Engineering, Physics, among others) required. Masters Degree preferred.
2+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role.
Proficient with Python or R, and solid working knowledge of SQL.
Strong communication and presentation skills.
Experience with ecommerce predictive analytics / modeling to include optimizing website conversion and behavior preferred.
Conceptual knowledge and background in probability, statistics, and machine learning including their technical implementation.
Experience designing, prototyping, and deploying production-ready machine learning solutions.
Strong problem-solving skills.
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Commitment to Diversity and Equal Employment Opportunity
Vroom is an equal opportunity employer that is committed to creating a work environment where all employees can find their drive. To do that, we champion a workplace where each and every person is treated with dignity and respect and is valued for their unique perspective and contributions. Our values of SPEED: Service, Progress, Employees, Engagement, and Development are only possible in an environment where every individual has the ability to bring their whole selves to work and contribute fully.
Vroom’s policy is to maintain a working environment that encourages mutual respect, promotes harmonious and congenial relationships between employees, and is free from all forms of discrimination and harassment of any employee (or applicant for employment or service provider) by anyone, including supervisors, co-workers, vendors, or clients. Harassment and discrimination in any manner or form is expressly prohibited. There is no tolerance for discrimination or unequal treatment of any kind on the basis of race, color, religion, creed, gender, sex, sexual orientation, gender identity or expression, pregnancy, sexual and reproductive health decisions, national origin, age, disability, genetic information, marital status or civil partnership/union status, familial status, military or veteran status, predisposition or carrier status, domestic violence victim status, alienage or citizenship status, unemployment status, sexual violence or stalking victim status, caregiver status, or any other characteristic protected by law.
This practice applies to all terms, conditions and privileges of employment including, but not limited to, recruitment, selection, promotion, demotion, transfer, layoff, rehire, termination of employment, development and training, compensation, benefits and retirement.
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