About the role
Job Title: Data Scientist
Experience: 6-15 years
Job location : Pan India (metro Cities)
Required Skills:
• 6–15 years of experience in data science or advanced analytics roles, developing and deploying machine learning or statistical models in an enterprise environment. • Strong foundation in machine learning algorithms and statistical techniques (regression, classification, clustering, time-series forecasting, etc.), with ability to select appropriate methods for different problem types and interpret model outputs. • Proficiency in programming with Python (preferred) or R for data analysis and model development, including use of relevant libraries and frameworks (e.g., pandas, NumPy, scikit-learn, TensorFlow/PyTorch). • Experience in data manipulation and analysis, including cleaning large datasets, performing exploratory data analysis, and feature engineering to prepare data for modeling. • Familiarity with data visualization tools and techniques (e.g., Matplotlib, Seaborn, Tableau) to effectively communicate insights and tell a story with data. • Hands-on experience using ML model development tools or cloud-based ML platforms (such as AWS SageMaker, Azure ML Studio, or Google AI Platform) is a plus. • Excellent problem-solving and analytical thinking skills, with the ability to work cross-functionally and communicate complex analytical concepts to non-technical stakeholders. Experience working in agile, collaborative teams to deliver data science projects on time. • Excellent analytical skills and attention to detail, with the ability to troubleshoot data issues, ensure data quality, and document data processes. Effective communication skills to work with cross-functional teams in a fast-paced environment.Key Responsibilities* • Problem Definition & Data Collection: Engage with business stakeholders to understand analytical objectives and define data-driven problems. Identify and gather relevant internal and external data sources needed for analysis. • Data Analysis & Feature Engineering: Conduct thorough exploratory data analysis (EDA) to discover patterns, outliers, or anomalies. Perform feature engineering to create new variables that improve model performance, ensuring data quality and consistency throughout. • Model Development: Develop and refine predictive models and machine learning algorithms to address specific bus Qualifications: BACHELOR OF ENGINEERING