Senior Data Scientist at Vroom

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.We are growing our team seeking a Sr. Data Scientist who will focus on improving customer conversion specifically related to the financing cycle.Responsibilities:
Lead the development, maintenance, and delivery of data science products for various business units.
Lead the selection and implementation of new technologies and facilitate their rollout, working closely with product, devops and engineering leads.
Lead the establishment of modeling best practices and coding standards to be used across the data science organization.
Stay current with rapidly developing data modeling technologies and share knowledge with the greater team.
Ensure proper use of Vroom data assets by working closely with our data governance and cybersecurity teams.
Proactively apply business judgement to identify opportunities and develop data science strategies.
Advocate and advance modern, agile data science product development practices and help develop and evangelize great engineering and organizational practices.
Influence, collaborate, and communicate effectively with other business leaders.
Communicate scientific solutions and insights effectively to a non-technical audience.
Develop mechanisms to audit the product quality and develop best practices.
Mentor junior members of the team.
Requirements:
Bachelor's Degree in Quantitative Sciences (Computer Science, Mathematics/Statistics, Engineering, Physics, among others) required. Masters Degree preferred.
4+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role. 
Advanced proficiency with Python or R, and solid working knowledge of SQL.
Modeling experience related to car loans, ability to pay or credit level preferred, not required.
Strong communication and presentation skills.
Demonstrated ability to own a project and bring it to fruition with minimal oversight
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.
#LI-REMOTE

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.
Please review our privacy and CCPA policies