Introduction
Apptio, an IBM Company, is seeking a Staff Data Scientist to join our growing AI & Data Science team. In this senior technical leadership role, you will architect and drive cutting-edge ML and generative AI solutions that transform Apptio's FinOps and Technology Business Management (TBM) product suite.
You'll leverage your deep technical expertise and strategic mindset to lead projects from ideation to production, mentor team members, and shape the future of AI-driven insights for the world's leading enterprises-empowering them to optimize cloud and IT spend with intelligent, predictive, and actionable solutions.
Your role and responsibilities
- Lead the vision, design, and delivery of advanced ML models and generative AI capabilities that define and differentiate Apptio's product offerings.
- Drive AI strategy by identifying, prioritizing, and architecting high-impact ML initiatives aligned with Apptio's product and business roadmaps.
- Own end-to-end ML workflows, from raw data ingestion and scalable feature engineering to production deployment and lifecycle management, ensuring reproducibility, robustness, and maintainability.
- Provide deep technical leadership and thought partnership to data scientists, machine learning engineers, and cross-functional teams; champion a culture of technical excellence and innovation.
- Translate ambiguous, complex business and technical challenges into well-scoped, measurable ML solutions with clear KPIs, aligned with organizational goals.
- Act as a strategic advisor to product, engineering, and executive teams, influencing decision-making on AI/ML investments, product integrations, and technology directions.
- Stay on the leading edge of AI/ML advancements, especially in generative models, NLP, large-scale ML systems, and cloud cost optimization, and proactively assess their applicability to our products.
- Promote and establish best practices in ML development, model interpretability, reproducibility, model monitoring, and responsible AI, ensuring compliance with data governance and ethical standards.
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Required education
None
Preferred education
None
Required technical and professional expertise
- Extensive experience in data science, applied machine learning, or related roles, with a proven track record of delivering high-impact ML solutions in production environments.
- Advanced proficiency in Python and core ML libraries (scikit-learn, pandas, NumPy) as well as deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
- Extensive knowledge of ML algorithms, statistical modeling, and deployment of production-grade solutions at scale.
- Experience architecting ML systems working with large-scale datasets, structured and unstructured data, and cloud-native data platforms; deep SQL expertise.
- Demonstrated ability to lead complex projects, mentor senior engineers or scientists, and partner effectively with product, engineering, and executive stakeholders.
- Excellent communication skills with the ability to distill complex technical concepts for diverse audiences and drive alignment across teams.
Preferred technical and professional experience
- Experience in FinOps, cloud cost optimization, enterprise financial systems, or IT operations.
- Hands-on expertise with generative AI, LLMs, and natural language processing, including deploying or fine-tuning foundation models.
- Deep understanding of MLOps practices and tools (e.g., MLflow, SageMaker, Airflow) for managing the ML lifecycle.
- Familiarity with Apptio products (ApptioOne, Cloudability, Targetprocess) is a plus.
- Knowledge of data governance, model risk management, and responsible AI frameworks, with experience implementing them in production environments.
ABOUT BUSINESS UNIT
IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
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 qualifiedapplicants will receive consideration for employment without regard to race,color, religion, sex, gender, gender identity or expression, sexualorientation, national origin, caste, genetics, pregnancy, disability,neurodivergence, age, veteran status, or other characteristics. IBM is alsocommitted to compliance with all fair employment practices regardingcitizenship and immigration status.
OTHER RELEVANT JOB DETAILS
For additional information about location requirements, please discuss with the recruiter following submission of your application.