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