2

Full Time Tesla Computer Science Jobs in Washington

Computer Scientist

Fairfax, VA · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Your deep data science expertise coupled with an original approach to your work will help clients ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Computer Scientist

Reston, VA · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Computer Scientist

Laurel, MD · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Computer Scientist

Washington, DC · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Computer Scientist

Ashton, MD · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Computer Scientist

Lorton, VA · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

next page

Showing results 1-20

Full Time Tesla Computer Science information

What are the key skills and qualifications needed to thrive as a Full-Time Computer Science professional at Tesla, and why are they important?

To thrive as a Full-Time Computer Science professional at Tesla, you need strong programming skills (such as Python, C++, or Java), a solid understanding of algorithms and data structures, and typically a degree in computer science or related field. Familiarity with version control systems like Git, cloud platforms, and experience with Tesla’s preferred tech stacks or frameworks are highly valued, as well as relevant certifications. Excellent problem-solving ability, adaptability, and effective teamwork set top candidates apart in this fast-paced environment. These skills and qualities are crucial for driving innovation, building robust software solutions, and contributing to Tesla’s mission-driven projects.

What are some unique challenges computer science professionals may face while working full time at Tesla?

Working full time as a computer science professional at Tesla involves tackling complex, fast-paced projects that directly impact the company's innovative technologies. You may face challenges such as rapidly evolving requirements, tight deadlines, and the need to collaborate closely with cross-functional teams like hardware engineers, data scientists, and product managers. The dynamic environment often requires quick problem-solving, adaptability, and a strong commitment to high-quality code. However, these challenges provide valuable opportunities for professional growth and allow you to contribute to groundbreaking advancements in sustainable technology.

What does a Full Time Tesla Computer Science employee do?

A Full Time Tesla Computer Science employee typically works on designing, developing, and maintaining software systems that power Tesla's vehicles, energy products, or internal operations. This can include working on autonomous driving algorithms, data analytics, embedded systems, or cloud infrastructure. Employees collaborate with cross-functional teams to solve complex engineering challenges and contribute to Tesla’s mission of accelerating the world’s transition to sustainable energy. The role requires strong programming skills, problem-solving abilities, and a passion for innovation.

What is the difference between Full Time Tesla Computer Science vs Full Time Tesla Software Engineer?

AspectFull Time Tesla Computer ScienceFull Time Tesla Software Engineer
Required CredentialsBachelor's or higher in Computer Science or related fieldBachelor's or higher in Computer Science or related field
Work EnvironmentResearch, data analysis, algorithm developmentApplication development, coding, system design
Employer & Industry UsageTesla's R&D and innovation teamsTesla's product and software development teams
Common Search & Comparison IntentUnderstanding roles in Tesla's tech teamsComparing software engineering roles at Tesla

Full Time Tesla Computer Science roles typically focus on research, data analysis, and algorithm development within Tesla's R&D teams. In contrast, Full Time Tesla Software Engineer positions emphasize application development, coding, and system design for Tesla's products. Both roles require similar educational backgrounds but differ in daily tasks and focus areas, catering to different aspects of Tesla's technological innovation.

What are the most commonly searched types of Tesla Computer Science jobs in Washington? The most popular types of Tesla Computer Science jobs in Washington are:
What are popular job titles related to Full Time Tesla Computer Science jobs in Washington? For Full Time Tesla Computer Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Full Time Tesla Computer Science jobs in Washington look for? The top searched job categories for Full Time Tesla Computer Science jobs in Washington are:
What cities in Washington are hiring for Full Time Tesla Computer Science jobs? Cities in Washington with the most Full Time Tesla Computer Science job openings:
Infographic showing various Full Time Tesla Computer Science job openings in Washington as of May 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution.
Computer Scientist

$99K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

8th of 57 rated business consultants


Job description

Computer Scientist
The Opportunity:
As an analytics professional, 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). If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep data science expertise coupled with an original approach to your work will help clients and stakeholders make sense of their data and encourage actionable results. We're looking for someone like you to lead complex data exploration and analytics projects through your experience with statistics for the Department of Defense.
As an advanced data scientist and researcher on our national security team, you'll evaluate AI methodologies to make a real-world impact on AI usage in strategic intelligence. You'll grow your skills in continuous auditing, testing, evaluation, verification, and validation ( TEVV ) , and AI risk mitigation, to shape the future of analytics through a variety of means. We'll keep you sharp and moving forward in your career, with access to online courses and opportunities to publish or present at conferences. Whether you're using AI to improve government efficiency or developing new TEVV procedures, you'll guide a team that serves critical missions from end to end.
Join us. The world can't wait.
You Have:
  • 8+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products
  • 5+ years of experience with object-oriented programming (OOP) and functional programming to build modular and scalable testing libraries
  • Experience with CI/CD pipelines, including AI/ML validation
  • Experience with building automated data input modules, synthetic data generation for testing, and managing high-integrity "Gold Standard" datasets for testing and evaluation
  • Experience working on classified networks in support of DoD or IC clients
  • Ability to work independently with minimal oversight and direction
  • Ability to visualize complex data and concepts for non-technical leadership, highlighting system risks and "go or no-go" criteria clearly
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree and 8+ years of experience with scientific techniques, such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 12+ years of experience with scientific techniques, such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, in lieu of a degree

Nice If You Have:
  • Experience reviewing and evaluating technical documentation for compliance with applicable standards
  • Experience developing and executing TEVV procedures
  • Experience evaluating AI system performance, robustness, and fairness
  • TS/SCI clearance with a polygraph

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.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

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