Research Data Scientist

Innodata Inc.; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Innodata Inc. invites applications for a Research Data Scientist - GenAI/LLM to join our AI/LLM Delivery Unit.

You will design experiments, build research prototypes, and translate findings into practical AI/ML solutions, focusing on Generative AI, LLMs, NLP, and multimodal data. The ideal candidate has a strong research orientation, advanced degree, 4-7 years of hands-on experience in AI/ML, and proficiency with Python and ML frameworks.

Qualifications

• Master's or PhD in CS/AI/ML, Data Science, Statistics or related field.
• Strong research orientation with advanced statistical skills.
• Experience applying ML methods to GenAI/LLMs and NLP.

Responsibilities

• Conduct independent and collaborative GenAI/LLM research and model evaluation.
• Design experiments, build prototypes, and translate findings into practical AI solutions.
• Develop evaluation pipelines and benchmarks for LLMs and generative models.
• Collaborate with researchers, data scientists, AI/ML engineers, and clients.
• Stay current with GenAI research, datasets, and evaluation methodologies.

Skills

Research orientation

Statistical skills

Analytical skills

Python

Collaboration

Education

Master's or PhD in CS/AI/ML

Bachelor's/Master's from IITs or premier institutions

Tools

Python

ML frameworks

Job description

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope of the Role:

We are looking for a highly skilled Research Data Scientist - GenAI/LLM to join our AI/LLM Delivery Unit and work on research-driven AI/ML initiatives involving Generative AI, Large Language Models (LLMs), NLP, multimodal AI, model evaluation, and AI data.

The role combines strong research and analytical capabilities with hands‑on AI/ML expertise, requiring the candidate to design experiments, develop evaluation methodologies, analyze complex datasets, build research prototypes, and translate research findings into practical AI/ML solutions.

The ideal candidate will have a strong research orientation, excellent statistical and analytical skills, and the ability to work collaboratively with researchers, data scientists, AI/ML engineers, domain experts, and client‑facing teams.

What You'll Own:

AI/ML & Generative AI Research:

Conduct independent and collaborative research in Generative AI, LLMs, NLP, multimodal AI, machine learning, model evaluation, and AI data.

Formulate research questions and translate complex AI/ML problems into structured research methodologies and experiments.

Design, execute, and analyze experiments to evaluate and improve AI/ML models and solutions.

Build analytical models, prototypes, and research pipelines using Python and relevant ML frameworks.

Stay current with emerging research, methodologies, papers, and developments in GenAI, LLMs, NLP, multimodal models, and AI evaluation.

LLM & Model Evaluation:

Develop and implement LLM evaluation frameworks, benchmarks, datasets, and evaluation criteria.

Evaluate models for accuracy, robustness, bias, hallucination, reasoning, relevance, response quality, and other performance dimensions.

Conduct model benchmarking, error analysis, comparative analysis, and performance evaluation.

Work on areas such as RAG, SFT, RLHF/DPO, prompt engineering, fine‑tuning, embeddings, and LLM optimization, as applicable.

Identify model and data gaps and recommend improvements to enhance model performance and reliability.

Data Science & Statistical Research:

Collect, clean, analyze, and interpret large and complex structured and unstructured datasets.

Perform EDA, statistical analysis, hypothesis testing, significance testing, correlation analysis, sampling, and error analysis.

Develop data-driven insights and identify patterns, trends, and relationships relevant to AI/ML research.

Apply appropriate statistical and quantitative methodologies to validate research findings

AI Data & Dataset Development:

Develop and evaluate datasets, sampling methodologies, taxonomies, annotation frameworks, data quality frameworks, and evaluation criteria for AI/ML models.

Analyze data quality and identify issues affecting model performance.

Collaborate with annotation, data engineering, and AI/ML teams to improve AI training and evaluation data.

Translate data and research findings into actionable recommendations for improving AI system

Research & Innovation:

Contribute to research papers, technical reports, whitepapers, patents, benchmarks, internal publications, and other research outputs, where applicable.

Identify opportunities to apply emerging research and technologies to real‑world AI and data challenges.

Explore new methodologies, models, datasets, and evaluation approaches to improve AI capabilities.

Contribute to capability building and innovation within the AI/LLM practice

Collaboration & Stakeholder Engagement:

Work closely with researchers, data scientists, AI/ML engineers, data/annotation teams, domain experts, and delivery teams.

Present research findings, analytical insights, and technical recommendations to senior technical stakeholders.

Translate complex research and technical concepts into clear, actionable recommendations.

Where required, participate in client‑facing technical discussions and presentations and help translate business requirements into AI/ML solutions.

You'll Thrive in This Role If You Have:

Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, Computational Science, or a related discipline.

Bachelor's/Master's degree from IITs, NITs, or other premier engineering/research institutions is strongly preferred.

4-7 years of hands‑on research experience in AI/ML, Data Science, NLP, Generative AI, LLMs, or related areas.

Strong demonstrated