Data Scientist - Machine Learning in India, भारत

Job Description :Experience & Education :- 2 - 3 years of relevant experience in Machine Learning, Time Series Forecasting, Optimization Techniques, or related areas.- Master's degree in Technology, Engineering, or a quantitative discipline such as :1. MSc in Statistics & Operations Research2. M.Tech. in Industrial Engineering3. Applied Mathematics / Statistics4. Computer Science5. MBA in Operations- Certifications in one or more of the following areas will be an added advantage :1. Python2. AI/ML3. Optimization4. Simulation5. Cloud Platforms - Azure / GCP / AWSMandatory Skills :- Strong proficiency in data modelling, preferably developed through client-facing projects.- Extensive experience applying data-driven techniques such as Exploratory Data Analysis (EDA) and data preprocessing to solve business problems.- Strong hands-on experience with Python/PySpark for :1. Data manipulation2. Data visualization3. Machine Learning model development- Proficiency in at least one cloud platform: Azure, GCP, or AWS.- Strong SQL skills for data preparation, manipulation, and descriptive analysis.- Strong understanding and hands-on experience in the Supply Chain domain.- Excellent written and verbal communication skills.Good-to-Have Skills :- Experience with Simulation and Optimization techniques.- Experience with visualization tools such as Tableau or Power BI.- Exposure to supply chain planning platforms such as BY, Anaplan, o9, Kinaxis, or SAP IBP.- Exposure to client interaction and stakeholder management.- Experience working with business planning platforms such as o9, Kinaxis, or Blue Yonder (BY).- Exposure to supply chain analytics, forecasting, planning, and optimisation use https://jobeax.com/link/sLvd3ppXDN3k9Qmi Responsibilities :- Apply Machine Learning, forecasting, optimization, and data-driven techniques to solve complex supply chain business problems.- Perform data exploration, preprocessing, modelling, and analysis using Python, PySpark, and SQL.- Develop and implement machine learning and time-series forecasting models.- Analyse supply chain datasets and translate business requirements into analytical solutions.- Leverage cloud platforms to develop and deploy scalable analytics solutions.- Work with optimization and simulation techniques to improve supply chain planning and decision-making.- Develop meaningful data visualizations and analytical insights for business stakeholders.- Collaborate with cross-functional and client teams to understand requirements and deliver data-driven solutions.- Support implementation and integration of analytics solutions with supply chain planning platforms. (ref:hirist.tech)