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Temporary Data Scientist Machine Learning Jobs in Maryland

Data Scientist 3

Annapolis, MD · On-site

$157K - $215K/yr

Job Brief Data Science, Machine Learning Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe in providing ...

Data Scientist

Fort George G Meade, MD · On-site

$141K - $236K/yr

MANTECH seeks a motivated, career and customer-oriented Data Scientist in Fort Meade, MD , to drive ... Practical knowledge of advanced statistical modeling and foundational machine learning techniques ...

Data Scientist

Fort George G Meade, MD · On-site

$141K - $236K/yr

MANTECH seeks a motivated, career and customer-oriented Data Scientist in Fort Meade, MD , to drive ... Practical knowledge of advanced statistical modeling and foundational machine learning techniques ...

Data Scientist Location: Baltimore, MD (Onsite) Hiring Type: Contract Job Summary: We are seeking a ... Design, develop, and deploy machine learning and NLP models for text-based applications. * Work ...

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g ...

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g ...

Showing results 21-40

Temporary Data Scientist Machine Learning information

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Maryland?

The most popular types of Data Scientist Machine Learning jobs in Maryland are:

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Maryland?

For Temporary Data Scientist Machine Learning jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Temporary Data Scientist Machine Learning jobs in Maryland look for?

The top searched job categories for Temporary Data Scientist Machine Learning jobs in Maryland are:

What cities in Maryland are hiring for Temporary Data Scientist Machine Learning jobs?

Cities in Maryland with the most Temporary Data Scientist Machine Learning job openings:

Infographic showing various Temporary Data Scientist Machine Learning job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

$157K - $215K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Job Brief
Data Science, Machine Learning
Job Description
Are you VIGILANT about your career? RealmOne definitely is!
RealmOne was built on the principle that people matter first and foremost. We believe in providing a strong work/life balance by investing in our employees and encouraging professional and personal growth. We do this by offering exceptional benefits, flexible schedules, and the tools necessary to achieve success through paid training, mentoring, and the opportunity to work alongside top-notch industry professionals.
Join us on this journey as we execute this mission-critical contract providing high-end analytics and data science services within the REALM of cybersecurity.
Your effort and expertise are crucial to the success and execution of this impactful mission. This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals Analysts and Reverse Engineers, responsible for improving, protecting, and defending our Nation's Security.
Job Description:
  • We are seeking a Data Scientist who is familiar with the customer's enterprise data processing pipeline. You will be working to integrate AI into malware detection and malware analysis capabilities.

The Level 3 Data Scientist shall possess the following capabilities:
  • Foundations: (Mathematical, Computational, Statistical).
  • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
  • Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in DOD data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting DOD collection, processing, storage and analytic capabilities and limitations.

Qualifications:
  • Bachelor's Degree with 10 years of relevant experience.
  • Associates degree with 12 years of relevant experience.
  • Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.

Position requires active Security Clearance with appropriate Polygraph
Pay Range: 157,000-215,000
The RealmOne pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors to establish an equitable and competitive compensation package. These considerations include, but are not limited to, the extent and intricacy of the role's responsibilities, the candidate's educational background, their work experience, and the specific competencies crucial for success in the role.
RealmOne Benefits:
  • Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums. Tax-advantaged health savings account available with generous employer contribution. Dental + Vision: 100% employer-paid for employees and family with buy-up option available.
  • Retirement + Savings: 401K - 10% TOTAL CONTRIBUTION - 5% safe harbor - 5% annual profit share. Immediate vested, no match required!
  • Paid Time Off + More: 4 weeks starting PTO - 11 federal holidays + 2 floating holidays - Paid hours for company-required training.
  • Career Growth + Development: Access to FREE 24/7 learning via Udemy - Opportunities to participate in tech councils, industry initiatives, etc. - $7,500 annual Educational & Professional Development Assistance.
  • MORE BENEFITS...FOR EVERY LIFESTYLE! - Paid parental leave - Adoption assistance - Annual swag drops - Flexible work schedules - -Generous referral bonus program - Employee appreciation + family-friendly corporate events ...and much more.

ABOUT US
  • RealmOne is a mid-sized science and technology company dedicated to solving our customers' toughest mission challenges.
  • Headquartered in Columbia, MD., RealmOne supplies advanced cybersecurity, data science and software engineering services and products to customers in the Government and commercial sectors.
  • RealmOne delivers encompassing mission assurance and critical systems support to government customers across various U.S. locations to include Colorado, Georgia, Hawaii, Texas, Utah, and Virginia.
  • RealmOne has earned numerous awards, including being named a Top Workplace by the Baltimore Sun. With more than 30+ active contracts, 12 of which are prime, RealmOne stands as a premier innovator supporting the Government and Department of Defense, with team members located nationwide.

Disclaimer: Benefits packages offered by RealmOne are subject to variation and may differ based on work location, clearance level, and other eligibility criteria. Specific eligibility, availability, and scope of benefits are not guaranteed, may differ from those generally described, and remain subject to modification at the sole discretion of the company.