Tata Consultancy Services - Data Scientist/Domain Consultant - Customer Analytics - IIM/IIT/NIT

TCS - Data Scientist & Domain Consultant - Customer Analytics - IIM/IIT/NIT

1. Domain Expertise : 5+ Years in same domain. The candidate should have a good hold on one or more domains as listed: Communication & Media, Retail, CPG, BFSI, Utilities, Automobiles. Multiple opening for these domains.

2. The candidate must be an expert across the entire value chain covering the business areas of Customer Analytics, Omnichannel Analytics in that domain

3. The candidate should be able to suggest accelerator prototype or demo development, analytics continuum assets to be created, solutions roadmap for the offering and give inputs on marketing collaterals

4. Ability to translate Business Problem to a Statistical Problem and Statistical solutions to a viable Business solution.

5. Ability to perform statistical modelling (predictive, regression, hypotheses testing, multivariate analysis, Time Series, Cluster, forecasting, ARIMA) using R/ Python. 5+ years of Prior experience in predictive model building using R/ Python is a must

6. In-depth knowledge of Statistics and Machine Learning concepts and should be able to apply them to business problems

7. Excellent and wide-ranging experience in supervised and unsupervised learning. Reinforcement learning .

8. Experienced in the use and design of logistic regression, support vector machines, ensemble trees, and neural networks. Optimization problems a plus.

9. Experience in feature selection, feature engineering.

10. Candidate should be very client oriented, proactive, innovative, problem solver.

11. Should be conversant with best practices in data sciences, data mining, and software development.

12. Familiarity and experience with the standard machine learning packages, such as numpy, scipy scikit-learn, TensorFlow, keras and Theano

13. Deep knowledge of relational SQL (MSSQL) and NoSQL databases (Hbase)

14. Ability to manipulate unstructured data to form insights about the business

15. Knowledge of Spark, Yarn, other big data technologies

16. Experience in collaborating with technology team and support the development of analytical models with the effective use of data and analytic techniques.

17. Data Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base data, aggregation, transformation), performing EDA.

18. To validate the model results, Monitor model performance, and articulate the insights to the business team.

19. Ability to create good visualization with the output generated from the model

20. Write complex SQL queries to perform data extraction from various data sources

21. Prepare client consumable presentations with actionable insights for data driven decision making.

22. Ability to build use cases for the business and present them to client as well as Project IT stakeholders

23. Self-motivated with the ability to take direction and work independently

24. Document the model requirements in a suitable doc

25. Proven ability to mentor juniors and take full ownership for end-to-end deliverable related to project/program

26. Driving the E2E execution starting from Business interaction to deploy & support

27. Engage with internal/external stakeholders in collaborative data science project management.