ROLE: Senior-Level Data Scientist

REQUIREMENT:

• Professional experience of 10+ 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