Senior Data Scientist (Agentic Solutions)

New
J
JobgetherArtificial Intelligence
IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
PythonSQLMachine LearningData sciencePrompt EngineeringGenerative AI

Requirements

  • Strong professional experience in data science, machine learning, analytics, or applied artificial intelligence.
  • Hands-on experience with Python, SQL, data analysis, and machine learning development workflows.
  • Experience with generative AI technologies, including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks.
  • Experience building and deploying AI solutions in product-oriented, delivery-focused, or client-facing environments.
  • Ability to transform complex or unclear requirements into actionable technical solutions.
  • Strong analytical and problem-solving skills with attention to business impact.
  • Excellent communication skills and confidence working with cross-functional stakeholders.
  • Ability to work independently while collaborating effectively with engineering, product, and business teams.
  • Curiosity and passion for emerging AI technologies and continuous learning.

Responsibilities

  • Design, prototype, and deliver AI and agentic solutions for internal and client-facing use cases.
  • Apply machine learning, data science, analytics, and generative AI techniques to solve complex business problems.
  • Translate ambiguous business challenges into practical, scalable AI solution designs.
  • Collaborate with product, engineering, solutions, and customer-facing teams to define and implement AI capabilities.
  • Develop proof-of-concepts and support the transition of successful experiments into production-ready solutions.
  • Evaluate model performance, solution quality, and business outcomes using data-driven approaches.
  • Analyze results, identify improvement opportunities, and optimize AI solutions over time.
  • Communicate technical approaches, insights, and recommendations clearly to both technical and non-technical stakeholders.
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