Data Scientist

Position: Data Scientist. Experience: 3 – 6 yrs. Education Requirements: Masters / B.E from a reputed Indian institutes in the area of Statistics, Machine Learning, AI, Computer Science, etc. is preferred. Job Requirements: Working with stakeholders from different business units to identify the business opportunities for leveraging the data to drive business solutions. Must have good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). Mine and analyze data, applying statistical methods as necessary, discover the hidden patterns and viewing experiences to identify critical data insights. Develop customized ML/AI algorithms for the customers so that they are suited 100% to the requirements. Develop reusable AI/GenAI/ML/Statistical models that can be scaled to multiple businesses with minimum customization. Translate analytic insights into concrete, actionable recommendations for business or product improvement. Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs. Independently handle the products/projects and provide technical directions to the other team members. Develop dashboards using software like PowerBI to share algorithm results to end users. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Technical Skills: Expertise in cutting edge technologies in applied deep learning, Machine learning and AI in one or more of the following fields: Supply chain analytics: Inventory Optimization, demand forecasting; Sales Domain: Recommendation systems, Customer Segmentation, Price Elasticity; Manufacturing analytics: Root cause analysis, scrap reduction, cycle time reduction, warranty analytics; Computer Vision Gen AI: RAG, Agentic RAG, Graph RAG, Chain of Thoughts, Tree of Thoughts, Content Extraction, Content summarization, Chat application, LangChain. Strong expertise in Python. Work experience in preparing data which includes preprocessing, feature selection, imputation, cleansing, transformation using Python. Work experience in data exploration techniques, such as, mean-variance, k-means, nearest-neighbor, outlier techniques, and correlate anomalous sequences of events. Proven track record and experience with machine learning algorithms such as Multivariate Regression, classification models, clustering algorithms, support vector machine, decision tree, random forest, neural network etc. DOE, Forecasting, Segmentation, Uncertainty Analysis etc. Work experience in development of API, Web applications using Flask/Django will be an added advantage. Model deployment knowledge in Azure / AWS, etc. will be an advantage. Deployment experience with Docker, CI & CD will be an advantage. Qualifications: B.E. Additional Information: 3 to 6 years.

Responsibilities

Working with stakeholders from different business units to identify business opportunities for leveraging data; Mining and analyzing data, applying statistical methods to discover hidden patterns and critical data insights; Developing customized ML/AI algorithms suited to customer requirements; Developing reusable AI/GenAI/ML/statistical models scalable to multiple businesses; Translating analytic insights into actionable recommendations for business or product improvement; Partnering closely with product and engineering leaders throughout the project lifecycle; Independently handling products/projects and providing technical direction to team members; Developing dashboards using PowerBI to share algorithm results with end users

Requirements

3 to 6 years of experience; B.E; Good knowledge of advanced statistical methods; Expertise in cutting edge technologies in applied deep learning, machine learning and AI in one or more of: supply chain analytics, sales domain, manufacturing analytics, computer vision/Gen AI; Strong expertise in Python; Work experience in preparing data including preprocessing, feature selection, imputation, cleansing, transformation using Python; Work experience in data exploration techniques (mean-variance, k-means, nearest-neighbor, outlier techniques, correlate anomalous sequences); Proven track record with machine learning algorithms (multivariate regression, classification models, clustering algorithms, SVM, decision tree, random forest, neural network); DOE, Forecasting, Segmentation, Uncertainty Analysis; Strong interpersonal and communication skills

Nice to have

Masters / B.E from a reputed Indian institute in Statistics, Machine Learning, AI, Computer Science preferred; Automotive or manufacturing domain; Flask/Django API and web application development; Model deployment in Azure/AWS; Docker, CI/CD deployment experience