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Reliance Health
Reliance Health

Associate Data Scientist

datafull timeNigeria
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full time
INDUSTRY
healthcare
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About the role

About Reliance Health

Reliance Health’s mission is to make quality healthcare delightful, affordable, and accessible in emerging markets. From Nigeria, Egypt, Senegal and beyond, we offer comprehensive health plans tailored to both employers’ and employees’ needs through an integrated approach that includes telemedicine, affordable health insurance, and a combination of partner and proprietary healthcare facilities. By leveraging advanced technology, we are transforming the healthcare landscape, making it more efficient and accessible for everyone.

Role Overview

We are hiring an Associate Data Scientist to transform complex data into actionable insights, partnering with stakeholders to solve business challenges through statistical analysis, machine learning, and compelling data storytelling. The ideal candidate is analytical, curious, and collaborative, skilled in data analysis, visualization, and communication, and able to translate raw data into clear, impactful recommendations.

Key Responsibilities

  • Collect, clean, and preprocess structured and unstructured datasets for analysis and modeling.
  • Build, validate, and deploy statistical and machine learning models to solve business problems.
  • Write optimized SQL queries to extract and manipulate data from relational databases.
  • Develop insightful dashboards and visualizations using tools such as Power BI, Tableau, or similar.
  • Translate technical findings into clear, actionable insights for both technical and non-technical stakeholders.
  • Collaborate with cross-functional teams (engineering, product, operations) to define data requirements and deliver analytical solutions.
  • Continuously monitor model performance and retrain or improve algorithms as needed.
  • Document methodologies, workflows, and data dictionaries to ensure reproducibility.
  • Stay updated with emerging data science, AI/ML, and analytics best practices.
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