Senior Data Scientist (Agentic Solutions)
Remote - India
- Pay
- Salary not listed in the saved posting
- Work setup
Remote stated — work setup source
Listed location: Remote - India
Read the full posting- Employment
Full-time — employment source
Employment type Full Time - Remote
Read the full posting
What you’ll work on
Full postingDesign, prototype, and deliver AI and agentic solutions for internal and client-facing use cases.
Partner with product, engineering, and delivery teams to translate requirements into scalable solution designs.
Evaluate model performance, solution quality, and business impact using data-driven methods.
From the employer’s posting
Responsibilities Design, prototype, and deliver AI and agentic solutions for internal and client-facing use cases. Apply data science, machine learning, and generative AI techniques to solve complex business problems.
Apply data science, machine learning, and generative AI techniques to solve complex business problems. Partner with product, engineering, and delivery teams to translate requirements into scalable solution designs. Evaluate model performance, solution quality, and business impact using data-driven methods.
Partner with product, engineering, and delivery teams to translate requirements into scalable solution designs. Evaluate model performance, solution quality, and business impact using data-driven methods. Support experimentation, proof-of-concepts, and production-ready implementations.
What you’ll bring
All qualificationsCore experience
- Strong experience in data science, machine learning, analytics, or applied AI.
- Hands-on experience with Python, SQL, data analysis, and model development workflows.
- Familiarity with generative AI, LLMs, prompt engineering, RAG, or agentic AI frameworks.
- Experience working on client-facing, delivery-focused, or product-oriented technical initiatives.
- Ability to move from ambiguous problem statements to practical, implemented solutions.
- Strong communication skills and comfort working with cross-functional teams.
Qualification wording
Strong experience in data science, machine learning, analytics, or applied AI.
Hands-on experience with Python, SQL, data analysis, and model development workflows.
Familiarity with generative AI, LLMs, prompt engineering, RAG, or agentic AI frameworks.
Experience working on client-facing, delivery-focused, or product-oriented technical initiatives.
Ability to move from ambiguous problem statements to practical, implemented solutions.
Strong communication skills and comfort working with cross-functional teams.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- Strong experience in data science, machine learning, analytics, or applied AI. - Hands-on experience with Python, SQL, data analysis, and model development workflows. - Familiarity with generative AI, LLMs, prompt engineering, RAG, or agentic AI frameworks.
About Netomi
Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.
In the employer’s words · Read in context
Job description
The ideal candidate is hands-on, delivery-oriented, and excited about applying advanced analytics, machine learning, large language models, and agentic AI frameworks to real-world use cases. You will work closely with cross-functional teams, including product, engineering, solutions, and customer-facing stakeholders, to prototype, validate, and deploy intelligent solutions that create measurable business impact.
This role is well-suited for someone who combines strong technical depth with practical execution, strong problem-solving skills, and the ability to communicate complex ideas clearly to both technical and non-technical audiences.
Responsibilities
-
Design, prototype, and deliver AI and agentic solutions for internal and client-facing use cases.
-
Apply data science, machine learning, and generative AI techniques to solve complex business problems.
-
Partner with product, engineering, and delivery teams to translate requirements into scalable solution designs.
-
Evaluate model performance, solution quality, and business impact using data-driven methods.
-
Support experimentation, proof-of-concepts, and production-ready implementations.
Communicate insights, recommendations, and technical approaches clearly to stakeholders.
Stay current with emerging trends in AI agents, LLMs, automation, and applied data science.
Requirements
-
Strong experience in data science, machine learning, analytics, or applied AI.
-
Hands-on experience with Python, SQL, data analysis, and model development workflows.
-
Familiarity with generative AI, LLMs, prompt engineering, RAG, or agentic AI frameworks.
-
Experience working on client-facing, delivery-focused, or product-oriented technical initiatives.
-
Ability to move from ambiguous problem statements to practical, implemented solutions.
-
Strong communication skills and comfort working with cross-functional teams.
Employment type
Full Time - Remote
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Remote - India
Employment type Full Time - Remote
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 27, 2026
- Recorded sightings
- 23
- Last seen by us
- Oct 6, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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