Data Scientist - KPO

Responsibilities:

- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

- Mine and analyze data from company databases to drive optimization and improvement

- Assess the effectiveness and accuracy of new data sources and data gathering techniques.

- Develop custom data models and algorithms to apply to data sets.

- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

- Develop company A/B testing framework and test model quality.

- Coordinate with different functional teams to implement models and monitor outcomes.

- Develop processes and tools to monitor and analyze model performance and data accuracy

Qualifications & Experience:

- PG / MBA with 2 to 5 Yrs Experience with strong problem solving skills with an emphasis on product development.

- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

- Experience working with and creating data architectures.

- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

- Knowledge of advanced statistical techniques and concepts .