Palantir Data Scientist

Booz Allen Hamilton Inc.
Springfield, United States
13 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Experience required
1 year minimum
Compensation
$99,000.0 - $225,000.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Data Cleansing Data Mining Data Visualization Distributed Data Store Geospatial Intelligence R (Programming Language) Apache Hadoop MapReduce Apache Hive Python (Programming Language) MySQL
+9 more
NoSQL Power BI Standard Sql SQL Databases Unstructured Data Apache Spark Electronic Medical Records Plotly Apache Kafka

Requirements

  • 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • 5+ years of experience with statistical and general-purpose programming languages for data analysis such as Python or R
  • 3+ years of experience analyzing structured and unstructured data sources
  • 1+ years of experience deploying data workflows and models within platforms such as Palantir Foundry or Gotham
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • Experience leading the development of solutions to complex programs
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor’s degree

Nice If You Have:

  • 2+ years of experience with SQL
  • Experience with the design, production, and implementation of a federated approach to provide end-to-end GEOINT collection performance met rics that ensure continuity, consistency, agreement, transparency, and awareness
  • Experience working with structured and unstructured data in mission-critical environments
  • Experience building dashboards and visualizations using Foundry or Power BI
  • Experience in the development of algorithms leveraging SQL or NoSQL, R, or Python
  • Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2
  • TS/SCI clearance with a polygraph

Benefits & conditions

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 $99,000.00 to $225,000.00 (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.

About the company

As a Data Scientist, you’re driven by curiosity and inspired by the challenge of uncovering insights from complex, messy data. You’re passionate about solving real-world problems, and you’re excited by the transformative potential of working with powerful tools like Palantir Foundry. In a world increasingly shaped by data, you see the opportunity to make a lasting impact from national security and defense to public health and critical infrastructure.

At Booz Allen, you’ll be at the forefront of using Palantir’s advanced platforms to tackle high-impact, mission-critical problems. Working alongside engineers, analysts, and mission stakeholders, you’ll transform varied and often siloed data into actionable intelligence. Your work will help clients make informed, data-driven decisions that truly matter.

As a data scientist on our national security team, 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. Not only will you provide a deep understanding of their data, but you’ll also advise your client on what the information means and how it can be used to make an impact on the tasking of national, commer cia l, and emerging assets.

Join us. The world can’t wait., 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, 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

2:18 min

Scaling MySQL databases for massive user growth

Johannes Nicolai Johannes Nicolai +1 · LIVE

2:28 min

Identifying root causes through global and local SHAP plots

Bernhard Bernhard +1 · World Congress 2025

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

Videos

See all

Related articles

See all