Lead II - Data Science

Role Description ROLE: Mid Level Data Scientist REQUIREMENT:

• Professional experience of 5-7 years in business analysis, requirement gathering, solution workflow design for AI/ML/Analytics project
• Experience in programming skills in Python and SQL
• Strong understanding of ML libraries and applications e.g., Time series analysis, Neural Net, SVMs, boosting methods and implementation using Python
• Experience in Deep learning techniques
• Excellent Communication skills to effectively collaborate with business SMEs, UX team
• Intermediate knowledge with Dev Ops practices, including CICD, Automation, Build Management, and Versioning
• Understanding of Cloud services, including Microsoft Azure, GCP or Amazon Web Service
• Experience in LLM/Gen AI – Prompt Engineering, RAG and parameter hypertuning
• Experience in Pyspark will be an added advantage RESPONSIBILITIES:
• Excellent problem solving, Critical and Analytical thinking skills and hands on coding skills
• Proficient in Data fetch, data merge, data wrangling, exploratory data analysis and feature engineering
• Python, SQL Skills with working knowledge of machine learning algorithms
• Drive client engagement fully and align the development team towards a technical roadmap
• Implements analytical requirements by defining and analysing system problems; designing and testing standards and solutions
• Develops solution by preparing and evaluating alternative workflow solutions
• Determines operational objectives by studying business functions; gathering information; evaluating output requirements and formats
• Designs new analytical solutions by analysing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications
• Improves systems by studying current practices; designing modifications
• Recommends controls by identifying problems; writing improved procedures
• Defines project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget
• Monitors project progress by tracking activity; resolving problems; publishing progress reports; recommending actions
• Maintains system protocols by writing and updating procedures
• Provides references for users by writing and maintaining user documentation; providing help desk support; training users
• Maintains user confidence and protects operations by keeping information confidential
• Prepares technical reports by collecting, analysing, and summarizing information and trends
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies

Skills Python,LLM,GenAI,Machine Learning