Lead Data Scientist

• You would be required to Identify develop and implement the appropriate statistical techniques algorithms and Deep learning / ML Models to create new scalable solutions that address business challenges across industry domains.
• 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
• Provide solutions for but not limited to: Object detection/Image recognition natural language processing Sentiment Analysis Topic Modeling Concept Extraction Recommender Systems Text Classification Clustering Customer Segmentation & Targeting Propensity Modeling Churn Modeling Lifetime Value Estimation Forecasting Modeling Response to Incentives Marketing Mix Optimization Price Optimization.
• Ability to build train and lead a team of data scientists.
• Follow/maintain an agile methodology for delivering on project milestones.
• Excellent oral presentation and written communication skills.
• Experience applying statistical ideas and methods to data sets to answer business problems.
• Mine and analyze data to drive optimization and improvement of product development marketing techniques and business strategies.
• Working on ML Model Containerisation.
• Creating ML Model Inference Pipelines.
• Testing and Monitoring ML Models.

• Strong Python programming Knowledge Data Science and Advanced Concepts like Abstract Class Function Overloading Overriding Inheritance Modular Programming and Reusability
• Cloud Experience in using Azure services
• REST API using Flask or fastapi frameworks
• Good to have Pyspark: Spark Dataframe Operations SQL functions API Parallel Execution
• Good to have Unit testing using Python pytest or Unittest

• Bachelors/ Masters/ PhD degree in Math Computer Science Information Systems Machine Learning Statistics Applied Mathematics or related technical degree.
• 6 plus years total experience with minimum of 3 years of experience in a related position as a senior data scientist building Predictive analytics Computer Vision and NLP solutions for various types of business problems.
• Advanced knowledge of statistical techniques machine learning algorithms and deep learning frameworks like Tensorflow Keras Pytorch
• Programming background and expertise in building models using at least one of the following languages: Python R
• Strong individual planning and project management skills able to juggle multiple tasks and priorities.
• Selfmotivated and driven to deliver agreed results ontime
• Ability to convert analytical output into clear concise and persuasive insights & recommendations for technical & nontechnical audience
• Strong influence and relationship management skills.

• 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 with onshore and offshore teams.
• Be a problem solver and be proactive to solve the challenges that come his way.

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