Job Title

What you’ll do: • Scoping, driving, and delivering complex projects across multiple teams. • Work with product/business owners, enterprise/application/solution architects, data scientists, engineers, and other stakeholders to scale up Big Data and data science research and development initiatives w.r.t to the industrial standards. • Develop deterministic and machine learning models (ML) and pilot projects to find the most scalable solution to business problems (plug and play on readymade ML models and python abilities). • He/she should be a self-starter who has a strong interest in dealing with statistics, understanding complex systems, solving challenging challenges, and organizing and presenting data and reports. • Identifies the data needed for root cause analysis, gathers, and pulls data, analyses it to create a hypothesis, and uses data to validate it. • Develops and maintains scalable predictive models and drive insights that can be of value to the business. • Implement Continuous Integration/Continuous Deployment (CI/CD) pipelines for machine learning models. • Demonstrate technical expertise and provide guidance to business stakeholders on how to gain value from the data science initiatives. • Leverage and plug and play deep learning frameworks (e.g., TensorFlow, PyTorch) to build and optimize neural networks for various applications. • Create, create, and apply cutting-edge AI models and algorithms to resolve challenging business issues and keep up with the most recent developments in AI research and use creative approaches in practical situations. • Understanding of conceptual, logical, and physical architectures for cloud-based data solutions – AWS preferred. • Provide complete frameworks and solutions for projects. Keep an eye on and measure efficacy Establish best practices and frameworks for various data and analytics landscape capabilities. • Creates and assesses commercial and open-source data lineage tools. • Familiarity with the logical, conceptual, and physical architectures of cloud-based data solutions; preference is given to AWS. • Create frameworks and comprehensive solutions for these kinds of tasks. Keep an eye on and measure efficacy Establish best practices and frameworks for various data and analytics landscape capabilities. • Creates and assesses commercial and open-source data lineage tools. • Works closely with all business units and engineering teams to develop strategy for consumption of insights • Document the processes and maintain code repositories in GitHub Requirements. Requirements / Key Performance Areas: Technical Skills : • At least 3-5 years of data science experience • Experience with Python(preferred), Shell Scripting and/or R and SQL • Experience working with a data pipeline in the public cloud (AWS highly preferred). • Research and prototype novel GenAI solutions aligned with business goals • Work with cross-functional teams to translate requirements into AI capabilities • Experience in leveraging Agentic AI in Workflows • Data Visualization: Seaborn or Matplotlib (Python) • Source control knowledge: GitHub • Agile / Scrum experience preferred • Knowledge in SQL & Big Data analytics. • Experience in any ticketing tool preferably JIRA Domain Requirements : • Provide technical expertise and guidance to support the integration of generative AI solutions. • Experience in o eCommerce and/or Retail o Fintech is preferred • In-depth understanding of statistical and predictive techniques like regression, classification, and forecasting • Knowledge of techniques such as but not limited to Linear and Logistic regression, Random Forest, Boosting and Bagging techniques, SVM, Clustering and time series forecasting. • Strong Knowledge in Statistical Modelling, Machine learning, Deep learning & AI. • Strong Knowledge in Data Science tools and techniques. Soft Skills: • Familiarity with data visualization tools and excellent story telling skills. • Critical thinking and implementation in relevant use-cases • Strong interpersonal and management skills. • Excellent verbal and written communication skills. • Excellent Data Story telling skills. • To be able to work in a fast-paced agile development environment • Ideation and Conceptualization of existing business problems and implement the same. • Knowledge in Project/Program Management. Academic Requirements: • Bachelor’s degree in (Computer Science / Data Science