Data Science Senior Manager at Reliance Health



  2022-11-23
  Nigeria

Reliance Health uses Technology to Make Healthcare Accessible and Affordable. Through an integrated approach that includes affordable health insurance, telemedicine, and a combination of partner and proprietary healthcare facilities, Reliance Health offers innovative healthcare solutions that meet the needs of emerging markets.

We are recruiting to fill the position below:

Job Title: Data Science Senior Manager

Location: Lagos (Remote)
Employment Type: Full-time
Department: Data Science

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.



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