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Title: Data ScientistLocation: India, RemoteFulltime.Job Description:What does a Data Scientist do? As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: • Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a comprehensive data conversion application. • Data Mapping: Implement AI algorithms for accurate data mapping from source to target. • Code Generation: Automate code generation using AI models. • Data Validation: Apply AI-driven validation techniques to ensure data integrity and quality. • Code Conversion: Facilitate seamless code conversion using AI algorithms. • Collaboration: Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. • Monitor and Troubleshoot: Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. • Documentation: Maintain detailed documentation of methodologies and processes used in the application development. • Stay Updated with Technologies: Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: • Bachelor’s or Master’s Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. • Proficiency in Programming Languages such as Python, SQL, and other relevant languages. • Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. • Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. • Experience with Data Validation: Implementing AI-based validation techniques. • Familiarity with Code Conversion: Understanding AI algorithms for code conversion. • Experience with Databases like SQL Server and MongoDB. • Collaboration Skills: Ability to work effectively with cross-functional teams. • Problem-Solving Skills: Strong ability to identify issues and develop creative solutions. • Attention to Detail: Ensure accuracy and reliability of data conversions. • 5+ Years of Relevant Experience in data science or a related field. • Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: • Experience in the Financial Services Industry and an understanding of compliance standards. • Certification in Data Science or AI/ML. • Experience with Master data management, Data Wrangling and ETL Processes. • Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. • Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. • Previous Experience Delivering AI Solutions for complex data or conversions: Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation