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Medicare members · healthy aging platform

Engineering Manager- Data Science (Noida)

Delhi NCRPosted 1 month ago
Engineering ManagementSeniorFull Time; Regular
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BOLD is seeking for the newest addition to our existing Data Science team, youll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build recent products More towards the role ABOUT THIS TEAM The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL. The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology. WHAT YOULL DO - Build AIML models that serve for content generation, content recommendation, and content moderation using LLMs. - Responsible for converting business requirements into robust data science algorithms. - Responsible for providing technical leadership to a team of data science engineers. - Responsible for design, development, deployment of AI/ML, NLP, statistical & content recommendation algorithms that may not require LLMs. - Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams - Develop novel and scalable data systems in cooperation with our system architects that .

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