Associate Data Scientist, AI & Data Analytics

IBM

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Chicago, IL
Posted: 26 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $156k

$86k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $126,800–$185,225.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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At a glance

TL;DR · Associate Data Scientist, AI & Data Analytics

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Associate Data Scientist 2027 - AI & Data Analytics is a role within the IBM Consulting team where you will solve complex business problems using statistics, machine learning, and data science techniques. You will work in an Agile environment to prepare, cleanse, and analyze structured and unstructured data while building generative AI, RAG, and agentic AI workflows. Your daily responsibilities include designing experiments, evaluating model performance for accuracy and bias, and translating technical results into actionable recommendations for diverse stakeholders. The role requires proficiency in Python, R, SQL, and TensorFlow, along with experience in cloud environments like AWS or Azure. You will utilize tools such as LangChain, LlamaIndex, and Semantic Kernel to develop intelligent systems while ensuring responsible AI practices across various projects involving digital transformation and automated process redesign.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

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Skills

Python R SQL TensorFlow GenAI Agentic AI Machine Learning Data Science RAG LangChain LangGraph LlamaIndex Semantic Kernel AutoGen AWS Azure Google Cloud Git CI/CD MLOps LLMOps Vector Databases APIs

What you'll do

Prepare, cleanse, join, and analyze structured and unstructured data for machine learning and AI workflows.
Implement and validate predictive, prescriptive, and statistical models to achieve measurable business outcomes.
Design experiments, prompts, and evaluation datasets to assess model accuracy, reliability, and potential bias.
Build and evaluate GenAI, RAG, and agentic AI workflows including retrieval quality and tool-use performance.
Translate complex technical results into clear, actionable recommendations for both technical and non-technical stakeholders.
Collaborate with cross-functional teams to identify critical data and select appropriate modeling techniques for client challenges.

What we're looking for

High School Diploma or GED required.
Bachelor's degree in a related quantitative field (preferred).
Strong fundamentals in mathematics, statistics, computer science, algorithms, and analytical reasoning.
Familiarity with programming languages such as Python, SQL, R, or similar.
Foundational understanding of predictive modeling, machine learning, GenAI, and Agentic AI.
Basic understanding of cloud environments, data platforms, or AI platforms like AWS, Azure, or Google Cloud.
Experience in data science, machine learning, or related projects/internships (preferred).
Familiarity with LLMs, RAG, vector databases, and orchestration frameworks like LangChain or LlamaIndex (preferred).

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