Are you looking to join a startup and do work that is globally meaningful and impactful? Then, this is the right job for you!!
Our Client is a network of technology-enabled car service centers, offering a seamless car service experience at the convenience of a tap. The company is the first tech-based automobile servicing solutions startup in India. Founded in 2016, by entrepreneurs who are well versed in business and nitpicks of the industry, the company has raised $250,000 in its seed funding from Venture Catalysts within just 9 months of its operations.
The company uses the latest technology to offer an array of standardized car servicing facilities. The company aims to make car maintenance easier and easily accessible. The leadership team comprises of IIM grads with extensive background in consulting, automotive and unicorn consumer internet companies.
Our long list of customers includes both conventional industry leaders and new-age digital firms in B2C, B2B, car insurance space.
As Data Science & Analytics Lead, you will be breaking up business problem statements into small actionable Analytical/Data Science problems.
What you will do:
- Providing thought leadership on problem definition and defining the key metrics to target
- Creating business cases for data to be employed as a key differentiator in the market
- Undertaking make vs buy decisions on data platform employment
- Creating data models to test and implement business hypothesis
- Preparing dashboards to track performance and responsiveness of the model in production
- Working with business leaders to capture and implement all data requirements
- Building the entire Analytics architecture creating real-time data feeds for effective decision making and performance management
- Creating a data-centric decision making culture, influencing decisions on marketing spends, expansion, operations initiatives, etc.
Candidate Profile:
What you need to have:
- Overall experience of 3-5 yrs. in Advanced Analytics/ Business Intelligence/Business Analytics
- Strong expertise in SQL and working with relational systems
- Prior experience of implementing machine learning models in production systems
- Expertise on R/Python Mandatory
- Strong focus on adding value to business and the ability to take complete ownership
- Advanced degree in mathematics, statistics, physics, engineering or similar technical field with relevant course work in probability, statistics, and quantitative methods
Experience: 3 to 5 years
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