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RESPONSIBILITIES: 

• 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. 
• Mineandanalyzedata 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. 

TECH STACK: 

• 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 fast api frameworks 
• Good to have - Pyspark: Spark Dataframe Operations, SQL functions API, Parallel Execution 
• Good to have - Unittesting using Python pytest or Unittest Preferred 

QUALIFICATIONS: 

• 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. 
• 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 
• Strong influence and relationship management skills. 

KEY TRAITS: 

• 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.