Aera Technology is a pioneer in the growing category of Decision Intelligence Platforms and a Leader in the Gartner® Magic Quadrant™ for 2026 – the technology to digitize, augment, and automate decision-making processes with AI and machine learning. Through our AI decision automation platform, Aera Decision Cloud™, we are helping the best-known brands in the world make smarter, faster decisions.
Privately-held and VC-funded, we have a global team of over 400 Aeranauts – and we’re growing. We deliver Decision Intelligence innovation and services that enable enterprises to automate and scale decision making with accuracy and speed. We continue to be the trusted choice of market leaders for our proven ability to generate value and unlock opportunities that were previously unattainable.
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.
Skills Required
- 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 machine learning engineering, or equivalent strong project or internship experience
- Strong proficiency in Python for data analysis, including pandas, NumPy, and common scientific or machine learning libraries such as scikit-learn
- Experience with exploratory data analysis and statistical analysis
- Working knowledge of SQL and data manipulation, including joining, aggregating, and transforming data
- Experience structuring code into reusable components and applying version control, testing, and documentation practices
- Strong analytical thinking and problem-solving skills
- Familiarity with TensorFlow or PyTorch
- Exposure to production machine learning or analytics systems, including scheduling, APIs, CI/CD, or monitoring
- Experience with AWS, GCP, or Azure and distributed data frameworks such as Spark
- Domain experience in supply chain, logistics, or operations
What We Do
Aera Technology is the Cognitive Automation company that makes business agility happen. We deliver the first scalable digital platform that integrates with your existing systems to make and execute business decisions in real time. In the era of digital acceleration, Aera helps enterprises around the world transform how they respond to the ever-changing environment.
