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.
Your Role and Responsibilities 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 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 Required Technical and Professional Expertise 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 Preferred Technical and Professional Experience 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 ABOUT IBM IBM's greatest invention is the IBMer.
We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.
Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.
IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
#J-18808-Ljbffr