Associate Manager-Data Scientist

Education Qualification

PhD/MS/MTech in Computer Science/EE/Applied Mathematics/Optimization/other relevant disciplines involving computing and optimization. Experience with Reinforcement Learning and GenAI is preferred.

Experience

8-10 years of experience in Python/ R/ Scala and Statistical Analysis, Machine learning (Supervised and Unsupervised learning Techniques), neural networks, Deep Learning Techniques, Time-series analysis, NLP and chatbot systems, Reinforcement Learning, Model Optimization. Working knowledge of software development languages. Knowledge of Cloud Technologies is beneficial.

Work as the data strategist with business stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Proactively look for unsolved, data-rich, high-impact business problems and create new opportunities in the AI solutioning pipeline.

Evaluate feedback and challenging issues gathered by the business and technical teams and transform them into tractable problems to resolve.

Participate in research paper publishing, Applied AI Competitions; organize hackathons and knowledge conferences/webinars. Work with Principal Data/OR Scientists to devise solution roadmaps and KPIs.

Design, develop and evaluate highly innovative DL/ML & Stats based models.

Establish scalable, efficient, and automated processes for DL/ML model development, model validation and model implementation.

Conduct feature engineering and implement DL/ML models into production by collaborating with software developers and machine learning engineers.

Develop processes and tools to monitor and analyse model performance and data accuracy.

Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Aggregate data from multiple sources to provide a comprehensive assessment.

Create reports, presentations, and process documents to display impactful results.

Communicate solutions to stakeholders and implement improvements as needed to operational systems.

Recommend go / no-go on problem statements based on preliminary data analysis in consultation with project stakeholders.

Collaborate with AI Champion and Business Data Analyst to define and ratify data requirements and sources.

Collaborate with AI Solution Managers, Principal Data Engineer, OR Scientist and Principal ML Engineer to build ML/DL models and data prototypes.