Lead Data Scientist

Responsibilities

• Build and lead a team of data scientists.
• 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