Data & Analytics Senior Federal Data Scientist Washington, US at IBM

Introduction

A career in IBM Consulting is rooted in 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 for 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 that result 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.

Your Role and Responsibilities

As a Senior Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:

• Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning techniques in your projects.
• Writing programs to cleanse and integrate data in an efficient and reusable manner.
• Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
• Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
• Evaluating modelling results and communicating the results to technical and non-technical audiences.

We have positions open in this location:

• Washington, DC

Candidates must have the ability to obtain and maintain a Federal security clearance while in IBM Consulting-Federal.

The below requirements are a guideline. If you have transferable skills we encourage you to apply to this role.

Required Technical and Professional Expertise

• Must have the ability to obtain and maintain a Federal security clearance while in IBM Consulting – Federal.
• Bachelor’s degree.
• MA, MBA, MPA, MPH, MPP or MS at time of start.
• Availability to start in 2025.
• Relocation to the Washington, DC Metro Area.
• Willingness and ability to travel up to 100%. While most projects are local to the DC Metro area, US Federal’s portfolio of projects spans the US.

Preferred Technical and Professional Expertise

• Experience in pursuing your master’s degree with concentrations in the following areas:
• Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
• Prior consulting &/or relevant work experience in one of the following industries: Federal, State & Local Government, Defense, and Education.
• A passion for the Federal Sector, coupled with the ability to understand challenges that governments and their workers face and the ability to provide solutions that will provide long term value to the citizens of this country.
• Capacity and eagerness to learn new assignments, systems, and tools.
• Aptitude for technology tools and applications.
• Experience or certification working in the Agile method.
• Cloud trainings and/or certifications, particularly demonstrating AI/ML and other analytics expertise (e.g., IBM Cloud, AWS, GCP, Azure).