ASSOCIATE DATA SCIENTIST AT RELIANCE HEALTH | DATA SCIENTIST JOBS IN NGERIA

About Company:

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.

Job Description:

We are seeking an analytical, curious, and collaborative Associate Data Scientist to turn our raw data into a competitive advantage. You will not just be building models; you will be solving real business challenges by bridging the gap between complex datasets and actionable strategy. If you are a storyteller who can translate technical findings into clear, impactful recommendations for both engineers and business leaders, this role is for you.

Requirements:

• Data Management: Collect, clean, and preprocess large-scale structured and unstructured datasets to ensure they are "model-ready."

• Modeling & ML: Build, validate, and deploy statistical and machine learning models tailored to specific business problems.

• Querying & Extraction: Write high-performance SQL queries to extract and manipulate data from relational databases.

• Visualization: Design and maintain insightful dashboards in Power BI, Tableau, or similar tools to track key metrics and performance.

• Cross-Functional Collaboration: Partner with Product, Engineering, and Operations teams to define data requirements and deliver analytical products that actually drive change.

• Monitoring & Maintenance: Continuously track model performance and iterate on algorithms to ensure they remain accurate and relevant as business conditions evolve.

• Documentation: Maintain rigorous documentation of your workflows and data dictionaries to ensure full reproducibility across the team.

Qualifications and Skills:

• Education: Bachelor’s Degree (or higher) in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.

• Experience: 2–3 years of proven experience in data analysis, BI, or data science roles.

• Technical Toolkit:

  • SQL: Advanced proficiency in querying and joining large, complex datasets.

  • Languages: Proficiency in Python or R for data manipulation and modeling.

  • Visualization: Experience with tools like Tableau, Power BI, or libraries such as matplotlib/seaborn.

  • Machine Learning: Familiarity with frameworks like scikit-learn, TensorFlow, or PyTorch.

• Best Practices: Hands-on experience with version control tools (Git).

• Communication: Ability to distill complex technical findings into clear, actionable business language.

Salary

Application Closing Date: Not specified

Application Instructions:

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