Senior Data Scientist
New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLMachine LearningData scienceGenerative AI
Requirements
- BE/MS/PhD in Computer Science, Data Science, Statistics, Operations Research, Industrial Engineering, Supply Chain, or related field.
- 5+ years of experience building and deploying AI/ML solutions in production environments.
- Experience working directly with customers, stakeholders, or business teams to define and deliver technical solutions.
- Strong foundation in machine learning, statistical modeling, experimentation, and data science methodologies.
- Hands-on experience with LLMs, Generative AI, agentic systems, RAG architectures, and model evaluation techniques.
- Proficiency in Python, SQL, object-oriented programming, and modern software development practices.
- Excellent communication, presentation, and storytelling skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Ability to navigate ambiguity, drive outcomes independently, and balance technical depth with business impact.
Responsibilities
- Partner directly with enterprise customers to understand business challenges, identify AI opportunities, and define solution requirements.
- Lead customer engagements from discovery and solution design through deployment, adoption, and measurable business impact.
- Serve as a trusted technical advisor, helping customers successfully implement and scale AI-driven solutions.
- Present technical concepts, solution recommendations, and business outcomes to audiences ranging from practitioners to executive leadership.
- Design, build, and deploy scalable machine learning, Generative AI, and agentic AI solutions for real-world supply chain challenges.
- Develop production-ready ML pipelines, AI applications, prototypes, and proof-of-concepts.
- Collaborate closely with Product, Engineering, Solutions Consulting, Sales, and Customer Success teams to deliver customer outcomes.
- Mentor team members and contribute to best practices in AI solution development and deployment.
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