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Algorithm Scientist Jobs in Washington, DC (NOW HIRING)

Design, develop, and evaluate advanced algorithmic intelligence, data science, and AI techniques to support Object-Based Intelligence (OBI) through all-source analytic tradecraft, assessments ...

Design, develop, and evaluate advanced algorithmic intelligence, data science, and AI techniques to support Object-Based Intelligence (OBI) through all-source analytic tradecraft, assessments ...

As a Data Scientist, you will analyze complex data sets and develop algorithms to provide insights that help clients make informed decisions. Responsibilities : • turn complex data sets into useful ...

Senior Computer Scientist

Herndon, VA · On-site

$112K - $179K/yr

Computer Science specific: * Employ mathematics, statics, information science, artificial ... Integrate or code algorithms to support Government intelligence search and discovery missions.

Senior Computer Scientist

Herndon, VA · On-site

$112K - $179K/yr

Computer Science specific: * Employ mathematics, statics, information science, artificial ... Integrate or code algorithms to support Government intelligence search and discovery missions.

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Showing results 1-20

Algorithm Scientist information

See Washington, DC salary details

$57.2K

$126.1K

$155.7K

How much do algorithm scientist jobs pay per year?

As of Jun 8, 2026, the average yearly pay for algorithm scientist in Washington, DC is $126,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $155,200.00 per year, depending on experience, location, and employer.

How does an Algorithm Scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are Algorithm Scientists?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

What are the key skills and qualifications needed to thrive as an Algorithm Scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.
Infographic showing various Algorithm Scientist job openings in Washington, DC as of May 2026, with employment types broken down into 4% Locum Tenens, 1% As Needed, 87% Full Time, 5% Part Time, and 3% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $126,107 per year, or $60.6 per hour.

Cryptologic Computer Scientist 3

Gormat

Annapolis Junction, MD • On-site

$133K - $148K/yr

Full-time

Posted 20 days ago


Job description

Gormat is searching for a Cryptologic Computer Scientist to design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework. You will create solutions derived from forensics and attack attribution, facilitate protection of critical networks and active systems, and conduct knowledge discovery of passive and active systems, or other cryptologic computer science mission support. The right candidate will apply requisite computer science skills (operating systems, compiler theory, databased theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structure) to each problem to provide state-of -the-art techniques, tools, and approaches. This particular position will be a hybrid computer scientist/cyber threat analyst, specifically using Python, Spark/PySpark, and you will need to have a strong network and protocol analysis background and familiarity with customer tools.
The Level 3 Cryptologic Computer Scientist shall possess the following capabilities:
  • Design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework.
  • The solutions may arise in the forms of forensics and attack attribution, protection of critical networks, active systems warnings and indicators, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support.
  • Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures are applied to each problem to provide state of the art techniques, tools, and approaches).
  • Need a hybrid computer scientist/cyber threat analyst. Requires experience with python, spark, and comfortability working in larger scale data. Candidate must have a strong network and protocol analysis background, familiarity with the customer tools will be beneficial. Ideally, the candidate will be inquisitive and have a discovery focused mindset.

Qualifications:
  • Doctoral degree plus 4 years of relevant experience.
  • Master's degree with 6 years of relevant experience.
  • Bachelor's Degree with 8 years of relevant experience.
  • Associates degree with 10 years of relevant experience.
  • Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming and at least 4 upper-level math classes (Calculus and above).
  • Relevant experience must be in a computer science area (i.e. theoretical or applied), simulation/model development, designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g. algorithm or development) computation science, algorithm analysis and design, reverse engineering, and/or designing/developing computer and information systems, including engineering hardware and/or software.
  • Strong Python, Spark/PySpark skills.
  • Strong Network and Protocol Analysis background.
  • Familiarity with customer tools.

TS/SCI with polygraph is required.