IBM

Apptio, an IBM Company, is seeking a Data Scientist II to join our growing AI & Data Science team. In this role, you’ll build and apply cutting-edge machine learning and generative AI models to elevate Apptio’s FinOps and Technology Business Management (TBM) product suite.

We’re looking for someone with strong modeling expertise, solid engineering fundamentals, and a passion for turning raw data into real customer value. Your work will empower the world’s leading enterprises to optimize their cloud and IT spend through smart, predictive, and actionable insights.

• Lead the design, development, and deployment of ML models and generative AI capabilities that enhance Apptio’s product offerings
• Collaborate closely with product managers, engineers, and stakeholders to define AI-driven solutions that solve key customer problems
• Architect end-to-end ML workflows, including data ingestion, feature engineering, model training, evaluation, and deployment
• Provide technical leadership and mentorship to other data scientists and contribute to a high-performing, collaborative team culture
• Translate ambiguous business problems into well-scoped ML projects with clear success metrics
• Stay current with advancements in AI/ML, especially in generative models, NLP, and cloud cost optimization, and assess their applicability to our products
• Promote best practices in model development, reproducibility, monitoring, and responsible AI

• Extensive experience in data science or applied machine learning roles, with demonstrated impact in a product environment
• Advanced proficiency in Python, along with libraries such as scikit-learn, pandas, NumPy, PyTorch, TensorFlow, or Hugging Face Transformers
• Strong knowledge of ML techniques, statistical modeling, and real-world model deployment
• Experience working with large-scale datasets, structured and unstructured data, and SQL-based systems
• Proven ability to deliver production-grade ML solutions in partnership with software engineering teams
• Exceptional communication skills and ability to present technical solutions to non-technical stakeholders

• Experience with FinOps, cloud cost management, or enterprise financial/IT systems
• Hands-on experience with generative AI, LLMs, or natural language processing
• Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow)
• Experience with Apptio products (e.g., ApptioOne, Cloudability, Targetprocess) is a plus
• Knowledge of data governance, model monitoring, and responsible AI principles