Data Scientist

As a Data Scientist at Maruti Suzuki's Analytics Centre of Excellence (ACE) CoE, your role will involve the following key responsibilities: - Designing and implementing workflows for Linear and Logistic Regression, as well as Ensemble Models (Random Forest, Boosting) using R/Python. - Demonstrating competency in Probability and Statistics, including utilizing concepts of Data Distributions, Hypothesis Testing, and other Statistical Tests. - Experience in handling outliers, denoising data, and managing the impact of pandemic-like situations. - Performing Exploratory Data Analysis (EDA) of raw data and conducting feature engineering where applicable. - Proficiency in Data Visualization using the Python/R Data Science Stack. - Leveraging cloud platforms for training and deploying large-scale solutions. - Training and evaluating ML models using various machine learning and deep learning algorithms. - Retraining and maintaining model accuracy in deployment. - Packaging and deploying large-scale models on on-premise systems using multiple approaches, including docker. - Taking complete ownership of the assigned project. - Experience of working in Agile environments. - Familiarity with JIRA or equivalent project tracking tool. In terms of competencies and skills, you should have knowledge of cloud platforms such as AWS, Azure, and GCP. Exposure to NoSQL databases like MongoDB, Cassandra, Cosmos DB, HBase is preferred. Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. is beneficial. Proficiency in Excel, including Power Pivot, Power Query, Macros, and Charts, is required. Experience with large datasets and distributed computing (Hive/Hadoop/Spark) is a plus. Additionally, familiarity with transfer learning using state-of-the-art models in various domains like vision, NLP, and speech, integration with external services and Cloud API, working with data annotation approaches and tools for text, images, and videos is desirable. Your work experience should range from a minimum of 2 years to a maximum of 8 years, and you should hold a Bachelor of Technology (B.Tech) or equivalent educational qualification.,