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Lead I - Data Science

UST Global

India · On-site Full-time Mid Level 2w ago

About the role

Job Details

  • Experience: 5 - 7 Years
  • Openings: 1
  • Location: Kolkata

Role Description

ROLE: Mid Level Data Scientist

Requirements

  • 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

  • data science
  • python
  • sql
  • machine learning

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Requirements

  • 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

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

AI/MLAmazon Web ServiceCICDCloudData ScienceDeep learningDev OpsGCPGen AILLMMachine learningMicrosoft AzureNeural NetPrompt EngineeringPythonRAGSQLSVMsTime series analysisUX

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