Aera Technology is the Decision Intelligence company. We deliver innovation and services that enable enterprises to operate sustainably, intelligently, and efficiently. Our platform, Aera Decision Cloud™, integrates with your existing systems to digitize, augment, and automate decisions in real time. Aera helps enterprises around the world transform decision making – delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world’s best-known brands.
We are looking for an Associate Data Scientist who is exceptional at understanding data, extracting insights, and turning those insights into robust machine learning or statistical models. You will own the full modeling workflow from exploratory analysis and feature engineering through to building reproducible pipelines that can be deployed into production for our customers.
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.
About You
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.
Nice to Have
Exposure to production ML/analytics systems (scheduling, APIs, CI/CD, monitoring).
Experience with cloud platforms (AWS, GCP, or Azure) and distributed data frameworks (e.g., Spark).
Domain experience in supply chain, logistics, or operations.
Aera Technology Pune, Mahārāshtra, IND Office
Dhole Patil Rd, Manikchand Icon C Wing, Ground floor,, Pune, India, 411001
