- You would be required to Identify, develop and implement the appropriate statistical modeling, ML/Deep learning Models to create new, scalable solutions that address business challenges across industry domains.

- Create business stories and presentation through Data Inferential Analysis

- Define, develop, maintain and evolve data models, tools and capabilities.

- Communicate your findings to the appropriate teams through visualizations

- Collaborate and communicate findings to diverse stakeholders

- Required Implementation Experience (any 3 or above) : Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization.

- Good to have exposure in Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification

Preferred Qualification :

- Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree.

- 8 plus years total experience with minimum of 5 years of experience in a related position, as a Data Scientist or ML Engineer building Predictive analytics and Machine Learning solutions for various types of business problems.

- Advanced knowledge of Statistical Modeling, Machine Learning Algorithms, Python Programming.

- Strong individual planning and project management skills, able to work on more than one responsibilities through right prioritization

- Self-motivated and driven to deliver agreed results on-time

- Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience