Job Title

Company DescriptionChiStats empowers clients to harness the power of data to drive business value through a suite of innovative data science products and services. By offering custom AI and machine learning solutions, the company focuses on transforming data into actionable insights. ChiStats specializes in enabling organizations to make informed decisions and achieve their strategic goals through advanced analytics and technology.Why Join ChiStats?- Be part of a research-driven AI company recognized for innovation.- Opportunity to work on defense, energy, and industrial-scale AI applications.- Collaborate with a team that values curiosity, learning, and real-world impact.Role DescriptionThe Associate Data Scientist role is a full-time position located on-site in Pune. The selected candidate will be responsible for analyzing datasets, performing statistical analyses, creating predictive models, and generating insights for business decision-making. Daily tasks include producing data visualizations, conducting thorough data analyses, and collaborating with cross-functional teams to implement data-driven solutions. This position provides opportunities to work on exciting AI and ML projects tailored to client needs.Key Responsibilities:1) Explore datasets, define problem statements, and build quick baselines2) Train, validate, and evaluate ML models with strong metric tracking3) Design and run experiments4) Collaborate with product, engineering, and operations teams to integrate models5) Communicate results clearly to both technical and non-technical stakeholdersMust-Have Skills:1) Strong Python (pandas, NumPy, scikit-learn)2) Solid grasp of statistics and ML fundamentals (regression, classification, CV)3) Deeper understanding of fundamentals, problem solving ability & good quantitative aptitude4) Knowledge of model interpretability, bias, and fairness practices5) Strong written & verbal communication6) Curiosity, experimentation mindset, and ownership mentalityGood to Have:1) Domain: Basic understanding of water/wastewater processes and KPIs2) MLOps (brief): Model packaging, API serving, experiment tracking, monitoring3) Understanding of chemical process analytics4) Knowledge of building LLM applications5) Experience with time series data6) Knowledge of model interpretability, bias, and fairness practices7) Familiarity with dashboarding tools such as Streamlit or GrafanaQualifications:1) Undergraduate degree in a related field (e.g., Computer Science, Statistics, Mathematics, Chemical Engineering, Applied Chemistry)2) 1-2 years of relevant professional experience in data science or applied machine learning