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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
Required education
None
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)