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Data Scientist

Bah Open · verified Oct 24, 2026
Atlanta Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Bah. Atlanta · full-time · $77,500–$176,000 base.

SalaryStated by Bah
$77,500 – $176,000
Base salary for this role, in USD per year, as published in the posting.
This role, from BahOur estimate for the market: $95,485–$153,188Median $113,375
The range includes the market median of $113,375 for mid-level data science roles in Atlanta.
Worked out from 6 postings that stated pay, median $113,375. Last updated Oct 17, 2026.
RoleData Science
SeniorityMid-level
LocationAtlanta
EmploymentFull-time
Base pay$77,500–$176,000
PostedOct 9, 2026 · 2w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Explore, clean, analyze and visualize data with Python, R or SQL to uncover useful findings
  • Build and sustain production data pipelines from initial design through ongoing operation
  • Apply machine learning and natural language processing to structured and unstructured data
  • Work with business stakeholders to clarify needs, then present technical results to varied audiences
  • Create algorithms and systems that turn separate data points into answers clients can use

What you bring

  • At least three years working with data exploration, preparation, analysis or mining using programming languages such as Python, R or SQL
  • At least three years building and maintaining production data pipelines end to end
  • Experience with data quality, monitoring, security and enterprise governance practices
  • A bachelor's degree and the ability to qualify for a Public Trust or Suitability/Fitness determination

Who this fits

This role suits a mid-level data scientist who can move between hands-on data work and client-facing collaboration. You should be comfortable explaining technical findings to both technical and non-technical audiences. Hiring includes a government investigation, and eligibility requirements may apply based on the client.

From the employer

Data Scientist

The Opportunity:

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data.

On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have:  

  • 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining using programming languages such as Python, R, or SQL

  • 3+ years of experience designing, developing, and maintaining end-to-end production data pipelines

  • Experience implementing data quality, observability, monitoring, data security, and enterprise data governance

  • Experience collaborating with business stakeholders, gathering requirements, and delivering technical presentations to technical and non-technical audiences

  • Experience analyzing structured and unstructured data sources using machine learning and natural language processing methods

  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

  • Bachelor’s degree 

Nice If You Have:  

  • 2+ years of experience with business analysis processes, including translating scientific or technical requirements into user stories, use cases, and platform features

  • 2+ years of experience with Microsoft Azure, including Azure Data Factory, Azure Functions, Azure Storage, or cloud platforms such as AWS or Google Cloud Platform (GCP)

  • Experience deploying and supporting applications in a cloud environment

  • Knowledge of Agile development methodologies, DevOps, and DataOPs practices

  • Master’s degree    

 

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.


Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
  • Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science$70k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.