Spinny
Location
Gurgaon | India
Job description
Spinny
is a new age used car end-to-end platform in India. By establishing absolute trust & simplicity in transactions, we are bringing radical change to the way people buy used cars. Founded in 2015, Spinny became a Unicorn in 2021 valued at over 1.8 billion dollars. Backed by Marquee investors like Tiger Global, Accel, Avenir, Elevation and more. Being ranked on LinkedIn's Top Startups is testament to the fact that we're leaders in the industry. Quality, Transparency, Accountability & Personalized experience are the foundations of our business. Choose from over 5000+ fully inspected cars and bring your dream ride home. 5 days no questions asked money back guarantee coupled with 1 year warranty helps us solve the problem of post sales customer service in the industry. We are on a mission to build Spinny as the most loved and trustworthy brand of India and believe technology and Data Science must play a significant role in achieving this. Responsibilities: As a Data Scientist lead, you will be a thought leader and technical expert who drives critical data science projects that move the needle on company objectives. End-to-end responsibility for delivering impact via applied DS projects. You would provide technical guidance, mentorship, and leadership to a small team. You would help define the vision and strategy for the data science charter to drive substantial impact on customers and other stakeholders. Your scope would be company-wide and you would move across problem spaces where your skills would have the most customer and business impact. Close relationship and collaboration with engineering and product management leaders and partner with them to deliver impact. You would be solving non-trivial, open-ended, high-impact problems to help transform the Used Car Buying and selling process in India. Build and deploy state of the art ML/deep learning models for use cases in car buying and selling, pricing, demand and supply prediction, assortment optimization, ops optimization, marketing efficiency, personalization, recommendation and automations across multiple line-of-businesses. Requirements: We are looking for people with passion to learn and make impact in life of Customers, hungry to grow and are smart and fun to work with. We would look for following things in the candidates: 6+ years of work experience in Data Science with Leadership experience for at least 1 year. Strong Python programming skills, problem solving and conceptual thinking abilities. Strong machine learning and statistical foundation coupled with End to end experience of training and deploying machine learning models. Proven experience as a Data Scientist on diverse business problems right from solutioning to implementation. Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop, Spark, AWS/Athena Redshift) B.Tech in Computer Science and a post graduate degree in Data Science or other quantitative field from a Tier I institute is strongly preferred.Job tags
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