A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role you'll be encouraged to challenge the norm investigate ideas outside of your role and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
Data Scientist specializing in simulation modeling to transform complex datasets into actionable scenario-based insights. This role is focused on building advanced simulation frameworks that anticipate future outcomes quantify uncertainty and support strategic decision-making.
Responsibilities:
- Design and implement simulation systems to forecast outcomes assess risk and optimize decision-making under uncertainty.
- Develop and validate stochastic and deterministic simulations for complex processes integrating statistical mathematical and computational methods.
- Apply machine learning and statistical techniques to structured semi-structured and streaming datasets to identify trends and future patterns.
- Build scalable simulation pipelines on distributed clustered and cloud-based high-performance infrastructures.
- Integrate simulation outputs into interactive visualization tools to communicate forecasts and scenario results to stakeholders.
- Collaborate with cross-functional teams to translate business challenges into predictive analytics problems and simulation-based solutions.
Ensure data quality break down silos and create unified datasets for robust predictive modeling.
- Bachelor’s degree in mathematics statistics computer science engineering or a related field
- 10 years of experience as data scientist
- In-depth knowledge in mathematics statistics probability and simulation methodologies (Monte Carlo agent-based modeling discrete event simulation)
- Experience working in agile environment
- Experience with predictive analytics tools and frameworks in Python R or similar languages
- Ability to work independently as well as in a highly collaborative team-based environment
- * Must be eligible to obtain a Federal Clearance at some point after hired
- Experience working in aviation/with the FAA
- Experience supporting Federal Clients
- Familiarity with APIs data transformation and integration standards such as JSON XML REST and SOAP
- Experience with cloud-based analytics tools
- General knowledge and experience with leading automation software projects