Lead Data Scientist

Responsibilities

• Ability to build and lead a team of data scientists.
• You would be required to identify, develop, and implement the appropriate statistical modeling and ML/Deep learning models to create new, scalable solutions that address business challenges across industry domains.
• Create business stories and presentations 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, and 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 a 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, and 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

Key traits:

• Be a problem solver and be proactive to solve the challenges that come his way.
• Should have excellent communication skills.
• Should be self-motivated and willing to work as part of a team.
• Should be able to collaborate and coordinate in a remote environment.