Data Scientist

a Data Science consulting firm focused on the Financial Services sector helping organizations optimize their marketing spend, manage their credit losses, and anticipate their customer needs. They achieve this by combining sophisticated Data Science & Machine Learning techniques with a deep expertise of the Financial Services industry. Their clients are in North America, Australia, UK, and Asia, and include multinational banks, fin-tech companies, credit unions, specialty lenders, and insurance firms. They are intensely focused on driving results for our clients and have a track record of delivering 10x or better ROI for them. Not surprisingly, their clients tend to describe them in superlatives!
They believe that their continued success comes from having an amazing team and a unique culture. Their team consists of some of the brightest brains in India that have been hand selected through a rigorous selection process. This team operates in a culture that reinforces a drive to learn, encourages people to question the status quo, and commits us to the language of data & logic.
It is VC-funded, ISO-27001 certified, and their leaders are often quoted by leading global publications such as Forbes, CIO magazine, Venture Beat, Fox Business, Information Week, etc.

1. Lead analytical thought process and delivery on projects: - Lead brainstorming sessions, create analytical plan, provide guidance to junior team members, identify value creation areas, evaluate predictive models & algorithms, pressure test approaches & outcomes, be responsible for quality control 2. Own client communication and project delivery: - “Front-end” the relationship with clients, craft the overall “story”, make presentations to clients, liaise with client team members, ensure smooth delivery of projects, be the “go to” person for one/more projects 3. Drive growth of people and of the firm: - Supervise the work of others, provide career mentorship to junior team members, be involved in hiring activities, lead internal R&D projects, and identify internal innovation areas

Experience: 3-5 years
What we define as “Relevant Work Experience”:  Candidate needs to have hands-on, “expert” level experience in building sophisticated predictive models. This needs to have been one of their primary job responsibilities, so that they should have done it multiple times. They should also have done this with large datasets (millions of rows) and in situations where they had to evaluate different scorecards, had to conduct variable reduction, etc.  We have a strong preference for candidates who have done the above in the financial services sector (banks, credit cards, lending firms). This preference becomes stronger as years of experience increases  We are not interested in candidates who have done predictive modeling only through coursework (whether on campus or via online methods)  We are also not interested in candidates who haven’t developed models themselves, but are users/reviewers of predictive models  We are not interested in candidates whose primary exposure to Analytics is limited to BI/Dashboarding/Visualization
Eligibility: 1. Education: Tier 1 Engineering and Economics / Commerce colleges. Also open to Tier 2 Engineering Colleges or Tier 2 Business Schools if rest of the profile is superlative. 2. Tools & Skills:  Expert Level at Database querying tools (such as SQL / SAS) and at MS-Excel  Intermediate/Expert at developing predictive models (e.g. linear regression, logistic regression, decision trees, etc.)

Location: Sohna Road, Gurgaon
Additional Requirement:
The candidate will likely be required to travel to USA/Australia (usually 1-2 weeks every 1-2 months)