
Lead Data Scientist
2 days ago
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
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