Data Scientist Level 2 | 3-5 YOE | Immediate Joiners | Bangalore

About the Role Our client is seeking a Data Scientist (3-5 Years) to join their innovative team (FinOps Domain). This role involves owning the science layer of their AI-native Value-Control platform, which focuses on forecasting cloud costs, detecting anomalies, and powering optimization recommendations. The successful candidate will work closely with engineering teams to transition models from prototype to production, ensuring actionable insights for customers. Key Responsibilitie sAnalyze cloud cost and usage data from the client subscribers, transforming raw data into model-ready inputs.Design, train, and evaluate forecasting, anomaly detection, and optimization models.Conduct rigorous experiments to validate model performance and savings estimates.Package models for production, build scoring pipelines, and monitor for model drift and data quality issues.Translate model outputs into clear narratives for product teams and customers, ensuring trust and usability . Required Skil ls3+ years of experience building and deploying ML models in production environments.Strong foundation in time-series forecasting and evaluation methodologies.Solid statistical knowledge, including hypothesis testing and uncertainty quantification.Proficiency in Python (e.g., scikit-learn, statsmodels, PyTorch) and SQL for data manipulation.Experience with MLflow or similar tools for experiment tracking and model deployment.Ability to work with complex billing or operational data to create clean feature pipelines.Excellent communication skills to convey model behavior and trade-offs to technical and non-technical stakeholder s. Preferred Ski llsHands-on experience with Databricks, including job management and cluster configurations.Familiarity with cloud billing data from AWS, Azure, or GCP.Experience in anomaly detection on operational or financial time-series data.Knowledge of optimization techniques and operations research methods.Understanding of Bayesian modeling frameworks for probabilistic forecasting.Background in cloud infrastructure cost modeling or the FinOps doma in. Qualificat ions3-5 years of relevant experience in data science or applied machine learning.Demonstrated ability to ship production-grade ML models.Strong analytical and problem-solving skills.Bachelor's or Master's degree in a relevant field such as Computer Science, Statistics, or Engineer ing. Why Join Be part of an early-stage team where your work has a direct impact on customer outcomes.Experience a culture that values clear technical thinking, collaboration, and mentorship.Work in an environment where your models are integrated into the product, providing immediate feedback and visibility.Contribute to a platform that helps enterprises manage their cloud and AI costs effecti vely. About YMi nds.AIYMinds.AI is a premier talent solutions company specializing in sourcing and delivering elite developers with expertise in cutting-edge technologies. We help global enterprises and fast-growing startups accelerate their product development by connecting them with engineers who excel in building intelligent, scalable, and future-ready systems. Our clients are at the forefront of innovation, and we enable their success by providing exceptional talent that drives technological advanc ement. K eywordsData Scientist, Machine Learning, Time-Series Forecasting, Python, SQL, Databricks, Cloud Cost Management, Anomaly Detection, Optimization, FinOps, MLflow, AI Economics, Cloud Infrastructure, #DataScience #MachineLearning #FinOps #CloudComputing #AI #Bengaluru #Job Opening About the Role Our client is seeking a Data Scientist (3-5 Years) to join their innovative team (FinOps Domain). This role involves owning the science layer of their AI-native Value-Control platform, which focuses on forecasting cloud costs, detecting anomalies, and powering optimization recommendations. The successful candidate will work closely with engineering teams to transition models from prototype to production, ensuring actionable insights for customers. Key Responsibilitie sAnalyze cloud cost and usage data from the client subscribers, transforming raw data into model-ready inputs.Design, train, and evaluate forecasting, anomaly detection, and optimization models.Conduct rigorous experiments to validate model performance and savings estimates.Package models for production, build scoring pipelines, and monitor for model drift and data quality issues.Translate model outputs into clear narratives for product teams and customers, ensuring trust and usability . Required Skil ls3+ years of experience building and deploying ML models in production environments.Strong foundation in time-series forecasting and evaluation methodologies.Solid statistical knowledge, including hypothesis testing and uncertainty quantification.Proficiency in Python (e.g., scikit-learn, statsmodels, PyTorch) and SQL for data manipulation.Experience with MLflow or similar tools f