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New Grad Data Scientist Jobs in Washington (NOW HIRING)

DLA Piper

Data Scientist

Reston, VA · On-site

Assesses the effectiveness and accuracy of new data sources and data gathering techniques ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

CALIBRE

Data Scientist

Alexandria, VA

This Data Scientist will assist with overseeing the development, implementation, and execution of ... They will explore new ways to analyze data using statistical methods, machine learning and ...

CALIBRE Systems

Data Scientist

Alexandria, VA · On-site

This Data Scientist will assist with overseeing the development, implementation, and execution of ... They will explore new ways to analyze data using statistical methods, machine learning and ...

New

Booz Allen Hamilton

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

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 ...

Initial Therapeutics, Inc.

Data Scientist

Washington, DC · On-site

$120 - $170/hr

Collect business requirements / user stories for new or enhancements to existing analytic solutions * Train users in the use of solutions provided by the CfDA Data Science organization * Contribute ...

@Orchard

Data Scientist

Reston, VA

Data Scientist Reston, VA Active TS/SCI with Poly Clearance required @Orchard is retained by a top ... Our client is forging the new frontier of spatial intelligence, helping decision makers and ...

Dlapiper

Data Scientist

Washington, DC · On-site +1

Assesses the effectiveness and accuracy of new data sources and data gathering techniques ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

Booz Allen Hamilton

Data Scientist

Chantilly, VA · On-site

$99 - $225/hr

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 ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

Support selection and analysis of new WUC predictive failure models * Field newly approved WUC ... Data Scientist with 4 years of experience including experience in applied NLP, data labeling ...

Calibre Systems

Data Scientist

Alexandria, VA · On-site

This Data Scientist will assist with overseeing the development, implementation, and execution of ... They will explore new ways to analyze data using statistical methods, machine learning and ...

New

Booz Allen Hamilton

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

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 ...

Dlapiper

Data Scientist

Reston, VA · On-site +1

Assesses the effectiveness and accuracy of new data sources and data gathering techniques ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

Zantech

Data Scientist

Arlington, VA

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... We embrace the opportunity to hire individuals with new talents and fresh perspectives. Zantech ...

Zantech

Data Scientist

Arlington, VA · On-site

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... We embrace the opportunity to hire individuals with new talents and fresh perspectives. Zantech ...

Phase2 Technology

Data Scientist

Fort George G Meade, MD · On-site

$77.60 - $176/hr

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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

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 ...

Echelon Insights

Data Scientist

Alexandria, VA · On-site

$60K - $75K/yr

As a Data Scientist at Echelon Insights, you will design and deploy the models, pipelines, and ... Are intensely curious and constantly exploring new analytical techniques and technologies * Balance ...

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Showing results 41-60

All JobsNew Grad Data Scientist JobsNew Grad Data Scientist Jobs in Washington

New Grad Data Scientist information

See Washington salary details

$42.5K

$139K

$222.6K

How much do new grad data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for new grad data scientist in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What are the key skills and qualifications needed to thrive as a new grad data scientist?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Washington?

For New Grad Data Scientist jobs in Washington, the most frequently searched job titles are:

What job categories do people searching New Grad Data Scientist jobs in Washington look for?

The top searched job categories for New Grad Data Scientist jobs in Washington are:

What cities in Washington are hiring for New Grad Data Scientist jobs?

Cities in Washington with the most New Grad Data Scientist job openings:

New Grad Data Scientist jobs near you
Infographic showing various New Grad Data Scientist 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 $139,013 per year, or $66.8 per hour.

Data Scientist

DLA Piper

Reston, VA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago

DLA Piper rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

14th of 35 rated law firms

Job description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.
Summary
Position is responsible for data collection, data exploration and using large data sets to find opportunities for improving business outcomes. Designs data modeling processes to create algorithms and predictive models. Performs custom analysis. Uses modelling to drive business results with data-based insights and tests the effectiveness of different courses of action.
Location
This position can sit in any of our US offices.
Responsibilities
  • Works with internal stakeholders and clients to identify opportunities for leveraging organizational data to drive business solutions.
  • Prioritizes, scopes and manages data science projects for internal stakeholders and clients.
  • Mines and analyzes data to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assesses the effectiveness and accuracy of new data sources and data gathering techniques.
  • Applies the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering. Identifies patterns and looks for opportunities for optimization.
  • Develops custom data models and algorithms to apply to data sets.
  • Uses predictive modeling to increase and optimize client opportunities and business outcomes.
  • Writes computer programs and analyzes large datasets to uncover answers to complex problems.
  • Develops testing frameworks and tests model quality.
  • Coordinates with different functional teams to identify and implement models and monitor outcomes.
  • Develops processes and tools to monitor and analyze modeling performance and data accuracy.
  • Establishes best practices for data analysis and reporting.
  • Other duties as assigned.

Skills and Competencies
  • A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative.
  • Experience must include creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, data mining techniques, etc.
  • Experience with most or all of the following basic data science tools: Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing, predictive modeling, data visualization; and Big data tools: Hadoop, Azure, etc.
  • Experience in a professional services or law firm is preferred. Must be adept in agile methodologies and well-versed in machine learning, artificial intelligence and constructing data science pipelines.
  • Demonstrated presentation skills along with strong business acumen. Ability to communicate actionable insights using data, often for a non-technical audience.

Education
  • Bachelor's degree in computer science, data science, statistics, applied mathematics or related field

Years of Experience
  • 5 years of relevant experience in applying data science techniques to business functions.

Essential Job Expectations
All DLA Piper employees are expected to demonstrate excellence in how we serve our clients and develop our people, upholding our firm values as part of our culture. Specific expectations include:
  • Communicate effectively, both verbally and in writing, with clients, lawyers, business professionals, and external audiences.
  • Produce high-quality work and respond to correspondence in an efficient, timely, and professional manner.
  • Meet deadlines, manage competing priorities, and commit to meeting high standards.
  • Comply with firm policies and procedures.
  • Maintain confidences as required in a law firm environment.

Physical Demands
Sedentary work: This is primarily sedentary work, requiring occasional exertion of up to 10 pounds of force to lift, carry, push, pull, or move objects. The role involves sitting for extended periods, with occasional walking and standing, and occasional travel, both domestic and international.
Work Environment
The firm's work location requirements may be modified at the firm's discretion. Opportunity for a hybrid work arrangement combining remote and in-office work. The specific arrangement will be determined at the time of hiring and may be modified at the firm's discretion.
Compensation & Benefits
The firm's expected hiring range for this position is $112,879 - $179,481 depending on the candidate's geographic location, experience, skills, educational background, and overall qualifications.
DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) retirement plan, and additional benefits.
Application Process
Interested candidates must apply directly online. Application materials sent via email will not be accepted. Reasonable accommodations may be made upon request to enable individuals with disabilities to perform the essential functions of this position or participate in the selection process. For accommodation requests, please contact careers@us.dlapiper.com.
Agency applications will not be considered.
No immigration sponsorship is available for this position.
Disclaimer
This job description provides a concise overview of the role and is not intended to describe all work elements that may be performed. It should not serve as the sole criteria for personnel decisions. Job duties, requirements, and expectations may be modified at the firm's discretion at any time. This job description does not alter the at-will nature of employment.
We are committed to excellence in how we serve our clients and develop our people.
#LI-GB1
#LI-Hybrid
DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job applicant poster viewing center.

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About DLA Piper

Sourced by ZipRecruiter

DLA Piper is one of the largest business law firms in the world and one of the most recognized law firm brands globally. Since our firms founding, we have established ourselves as an innovative and entrepreneurial firm that is deeply committed to our global core values of people, clients and community. In fact, it is the individual members of the DLA Piper teamthe combination of talented lawyers and business professionals working togetherthat define our success and drive our growth.

Industry

Legal services

Company size

5,001 - 10,000 Employees

Headquarters location

City of London, Greater London, GB

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