Introduction
A career in IBM Consulting embraces long-term relationships, meaningful impact, 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 IBM 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 supported by mentors and coaches who will encourage you 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 learning opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities
As an Associate Data Scientist at IBM, you'll help transform clients' data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. In your role, you will be responsible for:
• Implementing and validating predictive and prescriptive models, creating and maintaining statistical models with a focus on big data• Incorporating a variety of statistical and machine learning techniques • Writing programs to cleanse and integrate data in an efficient and reusable manner• Using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools• Working in an Agile, collaborative environment and partnering with other data scientists, engineers, and consultants 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

Work you could do as a Federal Associate Data Scientist:

• Implement and validate predictive and prescriptive models, create and maintain statistical models with a focus on big data.
• Incorporate a variety of statistical and machine learning techniques in your projects.
• Write programs to cleanse and integrate data in an efficient and reusable manner.
• Use leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites.
• Work 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.
• Communicate with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
• Evaluate modelling results and communicate the results to technical and non-technical audiences.

Locations:
Washington, DC Metro Area
Hampton, VA
Huntsville, AL
Houston, TX

Required Technical and Professional Expertise• Familiarity with programming/scripting in a language such as Java or Python• Basic understanding of statistical programming in a language such as R, Python, SAS, or Scala• Exposure to analytical software such as SAS, SPSS, or MATLAB• Have past work or internship experience using data science tools in a corporate environment • Strong interpersonal skills with ability to collaborate and work effectively with individuals, strengthening relationships to achieve win-win solutions• Ability to look at things differently, debug, troubleshoot, design, and implement solutions to technical issues

Preferred Technical and Professional Expertise
Exposure to Cloud - AWS, Azure, Google Could or IBM Cloud • Exposure or interest in Design Thinking and Agile development methodology• Initiative to actively seek new knowledge and improve skills• A passion for innovative ideas, coupled with the ability to understand and assimilate different points of view