Data Science Senior Manager at Reliance HMO

Description

• The Data Science Senior Manager provides leadership and support to the Data Science team.
• He/She ensures synergy in operations and delivery within the team.
• The Data Science Senior Manager provides all the necessary help required in building AI/ML models for automating processes, reducing costs and increasing revenues of a modern health-tech organization.

Responsibilities

• Lead and coach the data science team.
• Develop and implement the data science strategy.
• Communicate strategy and analytic results in an actionable and non-technical manner to department leaders.
• Support in extracting both complex structured and unstructured data sets from internal and external sources and making sense of this data.
• Collaborate with other divisions in data management and extraction of insights
• Builds AI/ML models to automate different enterprise processes such as claim and provider management, customer acquisition, engagement retention, customer support, and finance and human resource functions
• Drive data quality throughout the company.
• Provide key actionable insights to management.
• Use data to estimate provider quality of care.

Requirements

• Tertiary Education from a recognised institution, in a quantitative field.
• A Master's Degree is preferred.
• Minimum of 10 years of experience as a data scientist, with particular focus on machine learning and NLP.
• Minimum of 3 years managerial experience.
• Experience with analytics software tools or languages (R, Python, etc.) and machine learning techniques is a must.
• Working knowledge of visualization platforms and customization (Power BI, Tableau etc) is a must.
• Must be a highly analytical individual with a strong grasp of modern statistical methods.
• Experience with full lifecycle data science projects is a must.
• Experience with medical data is an added advantage.
• Ability to work independently in a fast-paced environment.
• Excellent oral and written communication skills.