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
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