Computer and Information Research Scientist (CDC-NCIRD)

at  Abt Global

THE WORLD AT ABT

Solving the world’s most pressing issues and improving the quality of life for people worldwide is what we do every day at Abt Global. Creating a more equitable world is no small task, but we are driven by big challenges.
We are a team of 3,000+ people in over 50 countries working in unison and focused on the bigger picture. Only by sharing our commitment, energy, and innovation do we affect change and push the boundaries of what’s possible. We welcome diverse ideas, backgrounds, and viewpoints – joining Abt means access to exceptional thinkers at the top of their game.
To thrive at Abt is to embrace flexibility and collaboration. Our open culture allows you to balance your work and personal life as needed to optimize personal well-being. Creating a more equitable world starts from within – we look after people around the world, and we’ll do the same for you.
Ready to embrace rewarding and meaningful work? Now’s your chance.

The successful hire will be able to perform the following functions and have the following mix of experience and skills:

• Manage projects and processes, including interfacing with clients and coaching junior team members.
• Lead tasks, including organizing work plans and delegating work, with minimal supervision.
• Develop technical solutions to complex problems through ingenuity and innovation.
• Collect data from various sources, e.g., webscraping and APIs and perform data management tasks.
• Experience with generative AI, natural language processing (NLP), and/or machine learning methods, including random forests and neural nets.
• Strong programming skills in Python, R, SQL, and version control (git) software.
• Strong writing, presentation, and interpersonal communication skills

The successful hire will be able to perform the following functions and have the following mix of experience and skills:

• Manage projects and processes, including interfacing with clients and coaching junior team members.
• Lead tasks, including organizing work plans and delegating work, with minimal supervision.
• Develop technical solutions to complex problems through ingenuity and innovation.
• Collect data from various sources, e.g., webscraping and APIs and perform data management tasks.
• Experience with generative AI, natural language processing (NLP), and/or machine learning methods, including random forests and neural nets.
• Strong programming skills in Python, R, SQL, and version control (git) software.
• Strong writing, presentation, and interpersonal communication skills.