Job Description

Responsibilities

Ability to 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
Experienced in agile methodology for delivering on project milestones.
Need to have command on Verbal,Presentation, and Written Communication skills.

Preferred Qualifications:
Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems,Machine Learning, Statistics, Applied Mathematics or related technical degree.
8+ years total experience with minimum of 3 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
 

Skills Required