Primary Skills :Cloud (AWS, Azure, GCP), Python, GenAI, Keras, TensorFlow, scikit-learn, XGBoost, Neural Networks, Apache Pyspark, Random Forest model, Machine Learning, AI / ML, PyTorch, SQLRequirements:Must have skills for Lead Data Scientist role:Python – 2+ yearsPanda - 2+ YearsMust have led one end to end projectMust have customer facing experienceThis person will manage a project as a Tech Lead.Must have experience working on ML Algorithm's including - Random Forest, XGBoost and Neural networksMust have Frameworks:Scikit LearnAny 1 of these 3 is a requirement. Pytorch/Keras/ TensorFlowCandidate must have worked on atleast 1 end to end machine learning projectBasic SQL is MandJob DescriptionPosition: Lead Data ScientistExperience Level: 3 - 5 yearsJob Summary:We are seeking a Sr. Data Scientist to join our team to analyze complex datasets, develop machine learning models, and provide data-driven insights to support business decisions.Key ResponsibilitiesData Analysis & Exploration· Perform comprehensive exploratory data analysis (EDA) on large datasets.· Identify patterns, trends, and anomalies in data.· Conduct statistical analysis to validate business hypotheses.· Create data visualizations to communicate findings effectively.· Assess and ensure data quality and integrity.· Write complex SQL queries to extract and manipulate dataMachine Learning & Modeling· Design and develop machine learning models for business problems like (XG Boost, Logistic Regression, DNN, RNN etc)· Implement supervised and unsupervised learning algorithms· Perform feature engineering and selection· Evaluate model performance using appropriate metrics· Deploy and monitor machine learning models in productionProgramming & Development· Develop data analysis scripts and automation tools using Python· Build data pipelines and ETL processes· Create reusable code libraries and functions· Maintain version control and documentation standardsRequired QualificationsTechnical Skills· SQL: Advanced proficiency in writing complex queries, joins, subqueries, and database optimization· Python: Strong programming skills in Python for data analysis and machine learning· Exploratory Data Analysis: Expertise in EDA techniques, statistical analysis, and data visualization· Machine Learning: Solid understanding of ML algorithms, model evaluation, and validation techniques· Statistics: Knowledge of statistical methods, hypothesis testing, and experimental design· Knowledge of any cloud like AWS, GCP or Azure is good to have· Familiarity with version control systems· Experience with containerization and deployment toolsGood to Have:-· Worked on GenAI based Projects· Using GenAI for driving productivity in your work.