Supply Chain Administrator
Job in
Jamestown, Stutsman County, North Dakota, 58405, USA
Listed on 2026-09-20
Listing for:
Booz Allen Hamilton
Full Time, Part Time
position Listed on 2026-09-20
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
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 artifi cia l intelligence ( AI ) . 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:
Experience with statistical and general-purpose programming languages such as R, Perl, Python, SAS, or SPSS, for data analysis
Experience with data exploration, data mining, data cleaning, data analysis, data visualization, machine learning, statistics, graph algorithms, or AI Experience in data gathering and analytical work Knowledge of machine learning, AI, or Natural Language Processing ( NLP )Knowledge of text mining or machine learning techniques
Ability to analyze structured and unstructured data sources
Ability to develop predictive data models, quantitative analyses, and visualizations of targeted data sources
Ability to obtain a Secret clearance
Bachelor’s degree
Nice If You Have:2+ years of experience in the develop ment of algorithms leveraging R, Python, or SQL and No
SQL2+ years of experience with distributed data or computing tools, including Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL2+ years of experience with machine learning, AI, or NLPExperience with Palantir Foundry
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Experience with Business Intelligence ( BI ) or data visualization tools such as Power BI, Tableau, or Qlik Secret clearance
Bachelor's degree in an Analytical or Engineering field such as CS, Data Science, Computer Engineering, or Systems Engineering preferred ;
Master's degree in an Analytical or Engineering field such as CS, Data Science, Business Analytics, Computer Engineering, or Systems Engineering a plus Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information .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…
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