Chief Data Scientist - Startup - eCommerce

Silverpeople has been retained as client's exclusive partners to build their landing team from scratch.

Our client, based out of Bangalore, is looking for smart team oriented people who can get things done and entrepreneurs who have passion and drive to do something exhilarating and incredible. You will be a part of the founding team and will get an opportunity to make your own self-fulfilling teams. You will also be expected to wear multiple hats with fair amount of discretion and control.

Apply only if you are looking for a new and exciting startup which is one of its kind and if you enjoy working in an environment where creativity has no boundaries, where things move at internet speed, where you can expect unexpected to happen.

Role: Chief Data Scientist

Purpose:

- Highly motivated self-driven data scientist in statistics / predictive modeling / data quality to lead and guide multi-disciplinary project teams with primary responsibility to identify which data makes most sense for business decision making and to create data structures/models at organization level to have a meaningful and huge business impact

Job Responsibilities:

- Data Scientist is required to understand the problem, analyze possible solutions, select most suitable solution or set of solutions along with set of features, implement a scalable, working POC.

- Several iteration of this process may be required to keep on improving the accuracy of the solution. Interaction within Data Science team will enable different ideas and solution approaches for the given problem.

- Accessing and analyzing professional data to generate insights and make proactive recommendations

- Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.

- Designing and analyzing experiments to test new product ideas.

- Developing models and data-driven solutions that add material lift to principal performance metrics.

- Design and develop new models and algorithms providing advanced analytics to guide business decisions

Problems which need to be solved : There could be multiple problems arising e.g Demand Forecasting, Credit card Fraud Detection, Recommendation, User based personalization/ User Segmentation, Pricing, Load prediction for supply chain, CS, Automated bid optimization, Sales-Channel Attribution etc et

Looking for people passionate about Data Science and who can quickly adapt to a new domain, understand the data and use their data science skills to create impact.

Key skills:

- 5-10 years of relevant experience

- Strong mathematical modeling rigor of at least one kind (clustering, classification, stochastic modeling, time series etc).

- Enough programmatic background to rapidly prototype. (There will be engineers who will be translating your model into production ready code)

- Passion towards applied mathematics and a certain degree of research orientation, primarily manifested in the form of consumption/contribution in the applied mathematics research space.

- Quick learning capabilities on the domain front

- Hands on with at least one statistical analysis tool

- Passion for performance debugging and benchmarking

- PhD, BS/MS in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, etc.

- Prior experience in eCommerce related data science is preferable or Experience with Consumer Internet products.

CTC: Open (No bar for right candidate)

Deepika