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