Associate Data Scientist 2027 - AI & Data Analytics

IBM; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

International Business Machines Corporation (IBM) seeks an Associate Data Scientist to solve business problems using statistics, machine learning, and data science techniques. You will contribute to generative AI and agentic AI workflows, using Python, R, TensorFlow, and IBM AI suites.

You will prepare, analyze, and understand data to deliver insights, predict trends, evaluate model performance, and provide recommendations to stakeholders. Collaboration with diverse teams is essential.

Qualifications

• Experience performing analytics, ML, GenAI workflows.
• Strong data preparation, modeling, and evaluation skills.
• Ability to translate model results into actionable business insights.

Responsibilities

• Prepare, cleanse, join, and analyze data for analytics, ML, GenAI, and agentic AI workflows.
• Implement and validate predictive, prescriptive, statistical, and ML models with measurable outcomes.
• Design experiments, features, prompts, datasets, metrics, and tests to assess model outputs, accuracy, and value.
• Build GenAI, RAG, and agentic AI workflows evaluating retrieval, grounding, and tool-use outcomes.
• Work in an Agile, collaborative environment with data scientists, engineers, consultants, architects, and DBAs to apply responsible AI practices.
• Communicate with clients to understand needs, select modeling techniques, and explain assumptions and limits.
• Evaluate results and present insights clearly to technical and non-technical audiences.

Skills

Statistics

Machine Learning

Data Science

Agile

Tools

Python

R

TensorFlow

IBM tools

AI application suites

Job description

As an Associate Data Scientist, you will help solve business problems using statistics, machine learning, and data science techniques while contributing to generative AI and agentic AI workflows, along with open-source tools such as Python, R, and TensorFlow, IBM tools, and AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, evaluate model and workflow performance, and provide recommendations to stakeholders.

Collaborating closely with diverse teams, you will help select appropriate modeling approaches, identify the critical data needed for analysis, and translate complex model results into clear recommendations for technical and non-technical audiences.

In your role, you may be responsible for:

• Prepare, cleanse, join, and analyze structured, semi-structured, and unstructured data for analytics, machine learning, GenAI, and agentic AI workflows.
• Implement and validate predictive, prescriptive, statistical, and machine learning models with a focus on measurable client and business outcomes.
• Design experiments, features, prompts, evaluation datasets, metrics, and tests to assess model outputs, workflow accuracy, reliability, bias, and business value.
• Build GenAI, RAG, and agentic AI workflows by evaluating retrieval quality, grounding, generated responses, tool-use outcomes, and end-to-end agent performance.
• Work in an Agile, collaborative environment with data scientists, data engineers, AI engineers, consultants, architects, and database administrators to bring analytical rigor and responsible AI practices to client challenges.
• Communicate with internal and external clients to understand business needs, select appropriate modeling techniques, and explain assumptions, limitations, and recommendations.
• Evaluate modeling results and present insights clearly to technical and non-technical audiences, translating findings into practical actions.