Data Scientist

Role Objective

Own the end-to-end data intelligence layer at UniAthena — from raw data to real business impact. This role is expected to aggressively drive predictive modeling, uncover growth opportunities, and directly influence revenue, learner engagement, and product decisions through data.

Roles & Responsibilities

• Build and deploy high-impact machine learning models for lead scoring, enrollment prediction, retention, and learner behavior.
• Take complete ownership of data analysis across marketing, product, and academic funnels — no passive reporting.
• Translate ambiguous business problems into structured analytical and ML solutions.
• Identify revenue leakage, drop-offs, and inefficiencies — and proactively solve them using data.
• Design and implement end-to-end data pipelines for model training, validation, and deployment.
• Continuously improve model accuracy, performance, and scalability in production environments.
• Drive experimentation (A/B testing, cohort analysis) to optimize conversion rates and learner engagement.
• Work closely with cross-functional teams to ensure data is actively used in decision-making, not just reported.
• Build dashboards and analytical frameworks that are directly tied to business KPIs.
• Challenge existing assumptions and push for data-backed decision culture across teams.
  
  

Skills Required

• Strong expertise in Python (Pandas, NumPy, Scikit-learn) and solid understanding of ML algorithms
• Proven experience in building and deploying predictive models in real-world scenarios
• Strong command over SQL and data manipulation across large datasets
• Experience with data visualization tools (Power BI) for business-facing insights
• Hands-on exposure to model deployment and cloud environments (AWS / Docker/ CI/CD)
• Strong business understanding — ability to connect models to revenue, conversion, and retention metrics