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Principal Data Scientist
3 months ago
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, datarich, highimpact 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 / nogo on problem statements based on preliminary data analysis in consultation with Principal Data Scientists and AI Solution Managers