Hybrid
Full Time
Data Scientist
REQUIREMENT: • Professional experience of 3-5 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
Python, Deep Learning, Generative AI, Natural Language Processing, Machine Learning, LLM, SQL
UST
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