Associate Data Scientist – Modeling, Analytics & Pipelines at Aeratechnology

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. 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. If you share our passion for building a sustainable, intelligent, and efficient world, you’re in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia).  So join us, and let’s build this! Aera Technology is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Benefits Summary  At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits, and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You’ll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, Maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment, to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you’re working from the office, you’ll also have access to a fully-stocked kitchen with a selection of snacks and beverages.