Data Scientist

You will be joining Taxmann, a technology-oriented Publishing/Product company, as a Data Scientist. Taxmann's mission is to provide authentic and fast information reporting in the Tax & Corporate Laws domain of India, backed by over 60 years of domain knowledge and the trust of more than 500k legal professionals nationwide. **Key Responsibilities:** - Collect, process, and analyze large datasets to derive actionable insights. - Develop and enhance GenAI, Machine learning, and Natural Language Processing models for predictive modeling. - Create and optimize complex RAG projects for Chatbots. - Build and maintain RESTful APIs and web applications using Python frameworks such as Flask and FastAPI. - Utilize pandas and beautifulsoup for data extraction and manipulation. - Design and deploy Power BI dashboards and visualizations for real-time and ad hoc reporting needs. - Write efficient and scalable SQL queries for data extraction and analysis. - Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions. - Present findings and recommendations to stakeholders in a clear and concise manner. - Ensure data accuracy, integrity, and governance throughout all analytics processes. - Automate data collection and reporting pipelines to enhance efficiency. **Qualifications Required:** - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. - Minimum of 2 years of experience as a Data Scientist or in a similar analytical role. - Proficiency in Python for data manipulation, API development, and GenAI chatbot app creation. - Strong expertise in Power BI, including DAX and custom visual creation. - Advanced knowledge of SQL and relational databases. - Familiarity with tools like Pandas, NumPy, Scikit-learn, and other data analysis libraries. - Strong problem-solving and communication skills. - Experience with version control (e.g., Git) and deployment tools is advantageous. **Preferred Qualifications:** - Experience with cloud platforms such as Azure, AWS, or GCP. - Knowledge of machine learning techniques and model deployment. - Background in business intelligence, KPIs, and performance tracking.,