Job Description

• 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 Scientist 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 Principal Data Scientists and AI Solution Managers

Zwayam