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Data Science Junior Jobs in Washington (NOW HIRING)

In this role, you will apply data science techniques and methods and leverage a suite of data ... Mentor junior data scientists and establish best practices for reproducible, well-documented ...

In this role, you will apply data science techniques and met hods and leverage a suite of data ... Mentor junior data scientists and establish best practices for reproducible, well-documented ...

In this role, you will apply data science techniques and methods and leverage a suite of data ... Mentor junior data scientists and establish best practices for reproducible, well-documented ...

... junior staff and provide expertise in data science methodologies, enhancing team capabilities and promoting a culture of analytical excellence. Qualifications : Required : • U.S. citizen or green ...

Mentor and support junior and senior team members in data science methodologies and best practices. * Influence data governance and best practices within the organization. * Work directly with client ...

Mentor and support junior and senior team members in data science methodologies and best practices. * Influence data governance and best practices within the organization. * Work directly with client ...

Junior AWS Developer

Herndon, VA · On-site

$68K - $89K/yr

Business Analysis, Quality Assurance, BI-Tableau, Power BI, QlikView, BOBJ, Data Science & Data ... Junior-Level Cloud Engineers support implementation approaches and plans to ensure optimum cloud ...

Junior AWS Developer

Herndon, VA · On-site

$68K - $89K/yr

Business Analysis, Quality Assurance, BI-Tableau, Power BI, QlikView, BOBJ, Data Science & Data ... Junior-Level Cloud Engineers support implementation approaches and plans to ensure optimum cloud ...

Showing results 41-60

Data Science Junior information

See Washington salary details

$39.1K

$89.9K

$144.4K

How much do data science junior jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science junior in Washington is $89,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $92,300.00 per year, depending on experience, location, and employer.

What is a data science junior?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the typical daily responsibilities of a data science junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

What are the key skills and qualifications needed to thrive as a data science junior?

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

What are the most commonly searched types of Data Science jobs in Washington?

The most popular types of Data Science jobs in Washington are:

What job categories do people searching Data Science Junior jobs in Washington look for?

The top searched job categories for Data Science Junior jobs in Washington are:

What cities in Washington are hiring for Data Science Junior jobs?

Cities in Washington with the most Data Science Junior job openings:

Infographic showing various Data Science Junior job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $89,874 per year, or $43.2 per hour.

Full-time

Medical, Life, Retirement, PTO

Re-posted 7 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants


Job description

Data Scientist

The Opportunity:

In this role, you will apply data science techniques and methods and leverage a suite of data-driven tools to aid the client's service leadership and subject matter experts to increase decision space, understand strategic risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable analytic processes, and enterprise-wide collaboration to provide routine, special interest, and alert-triggered campaign assessments, and when necessary, facilitate and synchronize enterprise-level campaign adjustment. You will help DoD senior leadership mobilize for long-term campaigning, marshal DoD resources and actions against desired strategic outcomes, and maneuver the department with greater precision and effect to persistently pursue opportunity and mitigate risk vis-a-vis the pacing rival. Analysts are tasked with utilizing a flexible and foundational toolset that will add value across campaigning topics. Analysts will blend functional area knowledge with an ability to identify data sources, manipulate data, use data analytics tools, understand and anticipate strategic intent, and communicate with senior DoD leaders.

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 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 a seasoned data scientist like you to 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 in order to then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide and mentor your team as you oversee 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. As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.

What You'll Work On:

  • Design and execute statistical analyses on large, complex datasets from multiple sources.

  • Develop production-quality data visualizations, plots, and dashboards for technical and executive audiences.

  • Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment with mission objectives.

  • Collaborate with stakeholders to translate strategic questions into analytical approaches and deliver actionable insights.

  • Respond to ad-hoc analytical requests while managing competing priorities and deadlines in an agile workflow.

  • Mentor junior data scientists and establish best practices for reproducible, well-documented analyses.

  • Communicate complex statistical findings to both technical teams and senior DoD leadership.

Join us. The world can't wait.


You Have:

  • 6+ years of experience with data science, statistical analysis, or quantitative research

  • 6+ years of experience with the development of algorithms, leveraging R or Python in data analysis libraries, including pandas, NumPy, scikit-learn, or Tidyverse

  • 6+ years of experience analyzing structured and unstructured data sources

  • Experience with statistics, including hypothesis testing, regression analysis, experimental design, and uncertainty quantification

  • Experience with data management in SQL, including managing large-scale data across multiple databases and data warehouses

  • Experience working with large-scale datasets and distributed computing frameworks, including Spark or DASK

  • TS/SCI clearance

  • Bachelor's degree


Nice If You Have:

  • Experience with Natural Language Processing (NLP) techniques, such as text classification or entity recognition

  • Experience with geospatial data analysis

  • Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with Spark for large-scale data processing

  • Experience with data engineering principles, including ETL design, orchestration, and data pipeline architecture, to effectively partner with engineering teams

  • Experience working with the U.S. Department of Defense or the Intelligence Community

  • Experience with graph analytics, network analysis, or anomaly detection techniques

  • Experience with version control, such as Git, and reproducible research practices

  • Knowledge of machine learning model development and deployment practices

  • Possession of excellent written and verbal communication skills

  • Master's degree in Statistics, Computer Science, Data Science, or Economics


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

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.

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, 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.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914