Leader - Data Science/Scientist - Conglomerate

About Company:

A Fortune 10 Global Conglomerate

Position Definition:

- Finance & Data Operations Data Science Team is tasked with delivering tangible value to business units within through data-driven decision making.

- This position is leading a small team of data scientists delivering advanced analytics projects for different businesses within . The individual will join a growing global data science organization spanning both on/offshore.

- The incumbent is responsible for leading and executing analytics projects in business, collaborating with different business stakeholders and other partners, support the implementation of insights to realize tangible value for, manage a team of data scientists (up to 5) and working across a range of technologies and tools.

- The ideal candidate has a strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning), brings domain expertise, has applied those skills in solving real-world problems across different businesses/functions and has managed small teams in delivering insights.

Purpose:

- Lead the execution of analytics projects within the portfolio

- Design and articulate the data science solution relevant to the business problem/opportunity

- Lead the identification of appropriate data science models and evaluate their fitment for the available data

- Articulate the insights from the models in business-friendly language and explain the workings of the model for business adoption

- Provide support to the business value manager in managing the portfolio

Experience

- 8+ years of Relevant Experience

- Bachelors / Masters degrees in Mathematics, Statistics, Engineering, Technical Finance, or related areas

- PHDs in any of those areas would be an added advantage

- Track record of successfully delivering high number of analytics projects in an industry / function (20-30 projects) both individually and through teams

- Track record of applying analytics to address business opportunities

- Track record of managing teams (4 people direct management)

- Strong interpersonal communication skills and influencing skills

- Deep understanding of industry/function and associated processes, data, and systems

- A self-starter, able to work on initiative with a strong desire to learn.