Data Scientist I

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Introduction

We're looking for a Data Scientist II to join a high-impact, cross-functional team of data scientists and engineers focused on bringing generative AI and machine learning to life within Apptio's suite of FinOps products , including ApptioOne , Cloudability , and beyond.

This role blends applied software engineering with innovative AI use cases, helping enterprise customers gain deeper, faster, and more actionable insights into their cloud and IT spend.

Why You'll Love Working at Apptio

Work on real AI / ML solutions with immediate enterprise impact Collaborate with smart, driven teammates across engineering, product, and design Be part of a company that's defining the future of IT financial management Competitive compensation, benefits, and flexible work culture Backed by IBM's scale and Apptio's product innovation

Your Role And Responsibilities

Design, train, and validate machine learning models to solve real-world business problems in the FinOps / TBM space Develop and productionize models in collaboration with software engineering teams Leverage large-scale data from cloud providers, IT systems, and financial platforms to identify trends and optimization opportunities Explore and experiment with LLMs, NLP, and generative AI techniques to improve user experiences, reporting, and automation Partner closely with product managers, data engineers, and UX designers to shape intelligent product features Communicate insights and model behavior to technical and non-technical stakeholders

Preferred Education

None

Required Technical And Professional Expertise

Demonstrated hands-on experience in a data science or machine learning role Proficiency in Python and experience with common libraries (e.g., scikit-learn, pandas, PyTorch, TensorFlow) Familiarity with generative AI, LLMs, or NLP Strong understanding of machine learning fundamentals, model evaluation, and statistical methods Experience working with large datasets and SQL-based environments Comfort working across the full ML lifecycle—from experimentation to deployment and monitoring Excellent communication and collaboration skills

Preferred Technical And Professional Experience

Experience with cloud cost optimization, FinOps, or enterprise financial platforms Knowledge of MLOps practices and tools (e.g., MLflow, SageMaker, Airflow) Familiarity with Apptio products (ApptioOne, Cloudability, Targetprocess) Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at IBM by 2x

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