Data Scientist
REQUIREMENT: Professional experience of 7-9 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 analyzing 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 analyzing 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, analyzing, 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, Deep Learning, Generative AI, Natural Language Processing, Machine Learning, LLM, SQL

Keyskills: Large Language Model Machine Learning Generative Artificial Intelligence Python SQL