Data Scientist (Entry-Level)

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 Associates. 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 Opportunity

Abt is seeking a Data Scientist to join its growing team in the Digital and Data Services (DDS) Division. This division plays a key role within Abt providing data science methods, artificial intelligence (AI), and automation tools to a broad range of U.S. government agencies. Much of this work is focused on data modernization and analysis in areas such as healthcare, public health, housing, the environment, and human services.

The Data Scientist works with internal colleagues and external clients to answer complex technical questions. They will perform data cleaning and data pipeline engineering, analyze textual and numerical data, and may utilize various tools in Azure and AWS cloud environments to deploy generative AI, natural language processing, and machine learning workflows.

The selected candidate must be experienced in data science methods, with preference given to experience with Python.

The Data Scientist may work on-site in Abt’s offices in any of Atlanta, GA, Cambridge, MA, Durham, NC, or Rockville, MD in a hybrid remote/in-person status, or full-time remote from within the US.

Core Responsibilities

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

• Collect data from various sources, e.g., webscraping and APIs and perform data management tasks
• Familiarity with generative AI, natural language processing (NLP), and/or machine learning methods, including random forests and neural nets.
• Experience programming in Python
• Familiarity with version control (git) software
• Familiarity with SQL

What We Value:

• Bachelor’s degree in computer science or similar degree OR the equivalent combination of education and experience.
• Must have a current US government security clearance or the ability to successfully obtain one.
• Preference given to those with familiarity with healthcare claims data, EHR data, or CMS programs; or, experience working with public health and surveillance data.
• Preference given to those with familiarity with cloud computing services (e.g., AWS, Azure).
• Preference given to those familiar with data engineering or software development.
• US work authorization with no sponsorship needed.

What We Offer

We foster an environment where you can Thrive Your Way. Our innovative total rewards programs are designed to help balance your work and personal life. The approach toward your wellbeing centers around comprehensive benefits, flexible schedules, and professional development.

Abt Associates is an Affirmative Action/Equal Opportunity employer committed to fostering a diverse workforce. Abt Associates provides market-competitive salaries and comprehensive employee benefits. Local candidates strongly encouraged to apply.

This position offers an anticipated annual base salary range of approximately $70,000 - $90,000. Salaries may vary by ten percent depending on the candidate’s geographic location. Salary offers are made based on internal equity and market analysis.

Disclaimer: Abt Associates will never ask candidates for money in exchange for an offer of employment.

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