Lead Data Scientist - Machine Learning

Key Skills

• ML Model Containerization, ML Model Inference Pipelines.
• Strong Python programming, RESTAPI This is an immediate requirement.

• 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 Modelling, Concept Extraction, Recommender Systems, Text Classification, Clustering, Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Modelling 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 analyse 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

• 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, Karas, 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.
• 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 Unit test

(ref:hirist.tech)