Spearhead research and experimentation with cutting-edge Generative AI techniques to develop innovative enhancements for AI products within the team, pushing the boundaries of its capabilities.
Own the development and maintenance of a comprehensive suite of data analytics dashboards that provide real-time visibility into the performance of the AI product portfolio, influencing key strategic decisions.
Uncover hidden opportunities within vast datasets by applying advanced analytical techniques, driving data-informed decision-making across the portfolio products.
Serve as a key bridge between data science and product development, translating complex findings into clear, concise, and actionable product requirements.
Architect, implement, and optimize intelligent features that power AI products that directly impacting user experience and business outcome
Skills:
Bachelor’s degree in computer science, Engineering, or a related technical field with a strong foundation in AI/ML principles.
5-8 years of experience in data science, software engineering, or a related technical field
Proficiency in Python, with 3+ years of experience using relevant libraries for data manipulation, analysis, and visualization (e.g., pandas, scikit-learn, matplotlib, seaborn).
Strong SQL skills with 2+ years of experience in querying and manipulating large datasets from relational databases (e.g., BigQuery, MySQL).
Experience developing and deploying interactive data visualizations and dashboards using tools like Tableau or PowerBI (2+ years preferred).
Proven experience with cloud platforms such as Google Cloud, AWS, or Azure.
Demonstrated experience in applying data science methodologies to solve real-world business problems (3+ years).
Strong interest in applied research and development, and a passion for exploring new concepts and contributing to the advancement of AI and Generative AI within the healthcare technology sector.
Exceptional communication skills, with the ability to clearly convey technical findings to business stakeholders.
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