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  1. Home
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  3. it
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  5. Data Scientist
Booz Allen Hamilton logo

Data Scientist

Not Disclosed•Full-TimeOn-site

location_onOn-site

Apply Now

The Opportunity

As a data scientist at Booz Allen, you will unlock the secrets held within massive datasets, leveraging the possibilities of IoT, machine learning, and artificial intelligence. In an increasingly connected world, you will help turn complex structured and unstructured data into useful information to solve global challenges. From fraud detection and cancer research to national intelligence, your work will span both private and public sectors to find answers in the data.

On our team, you will use your analytical skills to create real-world impact. You will work closely with clients to understand their questions and needs, digging into their data-rich environments to find the pieces of their information puzzle. Collaborating with teammates, you will develop algorithms and systems, utilizing the right combination of tools and frameworks to transform disparate data points into objective answers. Ultimately, you will provide a deep understanding of the data, its meaning, and how it can be used to drive informed decisions.

Join us as we use data science for good. The world can't wait.

Hiring Process & Identity Verification

As part of our hiring process, we utilize advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. Candidates are expected to be on camera during interviews and assessments, and we reserve the right to take your picture to verify your identity.

We are committed to a fair candidate process based on your own skills and knowledge. While AI is a part of our daily work at Booz Allen, the use of artificial intelligence or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless explicit permission is provided.

Work Model & Culture

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.

Work location

Work model: On-site

location_on

On-site

Key Responsibilities

  • check_circleDevelop predictive data models and quantitative analyses
  • check_circleDeploy machine learning and natural language processing techniques
  • check_circleCollaborate with clients to understand data needs and questions
  • check_circleAnalyze structured and unstructured data to solve global challenges
  • check_circleDesign algorithms and systems using appropriate tools and frameworks
  • check_circleCreate data visualizations to support informed decision-making

Requirements

  • verified1+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • verifiedExperience with statistical and general-purpose programming languages for data analysis
  • verifiedExperience working in cloud data platforms
  • verifiedKnowledge of structured and unstructured data sources
  • verifiedKnowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
  • verifiedAbility to develop predictive data models, quantitative analyses and visualization of targeted data sources
  • verifiedAbility to deploy natural language processing, text mining, or machine learning techniques
  • verifiedBachelor's degree

Nice to Have

Experience in the development of ETL pipelines or algorithms leveraging Python. Experience with DataBricks or Palantir Foundry. Experience with visualization software, including Tableau or Qlik. Experience with GIS software, including QGIS or ArcGIS. Master's degree.

Benefits & Perks

check_circleHealth, life, disability, financial, and retirement benefitscheck_circlePaid leavecheck_circleTuition assistancecheck_circleWork-life programsDependent care
Booz Allen Hamilton logo
Company

Booz Allen Hamilton

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

1+ yrs (Entry Level)

Education

Bachelor's degree required

Job Type

Full-Time

Skills Required

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$78k-176karrow_forward

Skills, education and keywords

Skills: Data Exploration, Data Cleaning, Data Analysis, Data Visualization, Data Mining, Statistical Programming, Cloud Data Platforms, Machine Learning, Artificial Intelligence, Natural Language Processing.

Education: Bachelor's degree required; Master's degree preferred.

Frequently asked questions about Data Scientist at Booz Allen Hamilton

What does a Data Scientist at Booz Allen Hamilton do?expand_more
In this Data Scientist at Booz Allen Hamilton role, you will develop predictive data models and quantitative analyses; deploy machine learning and natural language processing techniques; collaborate with clients to understand data needs and questions; and analyze structured and unstructured data to solve global challenges.
What are the requirements for this Data Scientist role?expand_more
To qualify for the Data Scientist at Booz Allen Hamilton position, applicants should have: 1+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining; Experience with statistical and general-purpose programming languages for data analysis; Experience working in cloud data platforms; Knowledge of structured and unstructured data sources; Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing; and Ability to develop predictive data models, quantitative analyses and visualization of targeted data sources.
Where is the Data Scientist role at Booz Allen Hamilton located?expand_more
Data Scientist at Booz Allen Hamilton is based in On-site. This is a on-site role.
Is this Data Scientist job remote, hybrid, or on-site?expand_more
Booz Allen Hamilton has listed this Data Scientist role as on-site.
How much experience is required for this Data Scientist role?expand_more
Data Scientist at Booz Allen Hamilton typically requires 1+ years of relevant experience at the entry level level.
What skills do you need for the Data Scientist role at Booz Allen Hamilton?expand_more
Key skills for Data Scientist at Booz Allen Hamilton include Data Exploration; Data Cleaning; Data Analysis; Data Visualization; Data Mining; Statistical Programming; Cloud Data Platforms; and Machine Learning.
What education is required for Data Scientist at Booz Allen Hamilton?expand_more
Educational requirements for this role: Bachelor's degree required; and Master's degree preferred.
What category does the Data Scientist role belong to?expand_more
Data Scientist at Booz Allen Hamilton is part of the it job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

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Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryJobs by skillCareer guidesCareer blogSalary insights
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Data Exploration
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