Data Scientist, Mid

Phase2 Technology; McLean (VA); On-site; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Professional development

Paid leave

Tuition assistance

Job summary

Phase2 Technology is seeking a Data Scientist based in McLean, Virginia, to unlock insights from complex data sets. You will utilize machine learning and data science techniques to solve global challenges across sectors including fraud detection and cancer research.

Qualified candidates will have strong programming experience in Python or R, the ability to create ETL pipelines, and a solid understanding of statistical analysis. This position requires an active TS/SCI clearance.

Competitive salary range of $99,000 to $225,000 annually, along with comprehensive benefits.

Qualifications

• 5+ years of experience using data science programming languages such as Python or R.
• Experience with version control tools such as git.
• Ability to generate data visualizations with tools like Kibana, Tableau, or Power BI.

Responsibilities

• Unlock secrets held by data sets.
• Work closely with clients to analyze data-rich environments.
• Lead the development of algorithms and systems.

Skills

Data science programming languages (Python, R)

Creating ETL pipelines

Statistical analysis and predictive modeling

Data visualization tools (Kibana, Tableau, Power BI)

Active TS/SCI clearance

Education

Bachelor's degree

Tools

Git, GitLab, GitHub, Bitbucket

AI frameworks (PyTorch, TensorFlow, Keras)

Data processing tools (MapReduce, Hadoop, Spark)

Job description

Job Number: R0242204

Overview

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—you'll help find the answers in the data.

On our team, you'll use your leadership skills and data science expertise to create real‑world impact. You'll work closely with 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 guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.

Qualifications

• 5+ years of experience using data science programming languages such as Python or R
• Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
• Experience with version control tools, including git, GitLab, GitHub, or Bitbucket
• Knowledge of statistical analysis, predictive modeling, and machine learning methods
• Ability to design and develop automated analytic software, techniques, and algorithms
• Ability to develop solutions and integrate and extend free and open‑source software (FOSS) or COTS products
• Ability to generate data visualizations with tools such as Kibana, Tableau, or Power BI
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor's degree

Nice If You Have

• Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT and the data and tools associated with these disciplines
• Experience with intelligence or operations analysis in the DoD or Intelligence Community
• Experience developing and implementing ontological frameworks
• Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
• Experience working with Deep Learning and AI frameworks including PyTorch, TensorFlow, and Keras
• Experience working with Retrieval‑Augmented Generation (RAG) and Large Language Models (LLM)
• Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• Knowledge of DevOps, including CI/CD pipelines and Jenkins

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation and Benefits

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 to receive 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 is based on 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 $99,000.00 to $225,000.00 (annualized USD). This posting will close within 90 days from the Posting Date.

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.