Senior Data Scientist at Future Evidence Foundation, developing AI solutions for health and science research. Collaborate within a team to lead innovations in systematic reviews.
About the role
- Associate Data Scientist focusing on modeling, analytics, and pipelines at Aera Technology. Delivering decision intelligence solutions for enterprises with Aera Decision Cloud™.
Responsibilities
- Partner with product and domain experts to translate ambiguous business questions into clear analytical and modeling problems
- Perform deep exploratory data analysis (EDA) on complex, noisy, and often incomplete datasets; validate data quality, uncover patterns, and frame hypotheses
- Design and implement features, select appropriate modeling approaches (e.g., regression, tree-based models, time series, clustering), and benchmark alternatives
- Write clean, well-structured Python code and notebooks for interactive analysis, experimentation, and result communication
- Build end‑to‑end data and modeling pipelines (data extraction, preprocessing, feature generation, model training, evaluation, and inference) that are modular, testable, and reproducible
- Collaborate with engineering teams to productionize models on the Aera platform, including packaging, versioning, monitoring, and validation
- Communicate findings and recommendations clearly to both technical and non‑technical stakeholders using visualizations, written narratives, and live walkthroughs.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field
- 1–3 years of experience in data science, data analysis, or ML engineering, or equivalent strong project/internship experience
- Strong proficiency in Python for data analysis: pandas, NumPy, and common scientific/ML libraries (e.g., scikit‑learn; familiarity with TensorFlow/PyTorch is a plus)
- Solid experience with EDA and statistical analysis; comfortable working in notebooks to iteratively explore data and build intuition
- Good working knowledge of SQL and data manipulation; able to join, aggregate, and transform data from multiple sources
- Experience structuring code into reusable components, applying basic software engineering practices (version control, testing, documentation)
- Strong analytical thinking and problem‑solving skills, with a bias for clear, data‑backed decision making.
Benefits
- Comprehensive medical
- Group Medical Insurance
- Term Insurance
- Accidental Insurance
- Paid time off
- Maternity leave
- Unlimited access to online professional courses
- Flexible working environment
- Fully-stocked kitchen with snacks and beverages
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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