Associate Data Scientist – Modeling, Analytics & Pipelines
Core
Partner with experts to translate business questions into analytical problems, perform EDA on complex datasets, design modeling approaches, and build end-to-end data and modeling pipelines.
Role type
Associate Data Scientist (Modeling, Analytics & Pipelines)
Builds
End-to-end data and modeling pipelines (extraction, preprocessing, feature generation, training, evaluation, inference) for the Aera Decision Cloud platform.
Domain
Decision Intelligence / Enterprise Software
Deliverable
production ML models | product features
Required skills
Python (pandas, NumPy, scikit-learn), SQL, Exploratory Data Analysis (EDA), Statistical Analysis, Feature Engineering, Model Selection (regression, tree-based, time series, clustering), Software Engineering Practices (version control, testing, documentation)
Preferred skills
TensorFlow/PyTorch, Cloud platforms (AWS, GCP, Azure), Distributed data frameworks (Spark), Production ML systems (CI/CD, monitoring), Domain experience in supply chain/logistics/operations
Technologies
Python, pandas, NumPy, scikit-learn, TensorFlow, PyTorch, SQL, AWS, GCP, Azure, Spark
Responsibilities
Perform deep exploratory data analysis (EDA) on complex, noisy, and often incomplete datasets; Design and implement features, select appropriate modeling approaches, and benchmark alternatives; Write clean, well-structured Python code and notebooks for interactive analysis and experimentation; Build end-to-end data and modeling pipelines that are modular, testable, and reproducible; Collaborate with engineering teams to productionize models on the Aera platform; Communicate findings and recommendations clearly to both technical and non-technical stakeholders
Seniority
Junior to Mid-level, hands-on IC
