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Hourly Data Scientist Jobs (NOW HIRING)

AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch ... Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending ...

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities of data scientists include a ...

Data Scientist

Washington, DC ยท Hybrid

$116K - $174K/yr

The Data Scientist will help develop and deploy AI models from ideation to production. Required For This Opportunity * Bachelor's Degree in Computer Science (or closely related degree). * At least 3 ...

Data Scientist - Irving, TX - 26-01056 Hybrid, 3 days onsite weekly W2 only accepted, no c2c or 1099 or OPT/CPT 1 year project Company Overview: Req ID: 365619 NTT DATA strives to hire exceptional ...

About the Role Total Wine & More is seeking a Data Scientist to join our growing Data Services team ... The actual hourly rate will equal or exceed the required minimum wage applicable to the job ...

Data Scientist

Bethesda, MD ยท On-site

$119K - $148K/yr

The Data Scientist supports the Actuarial & Data Science Department's mission of advancing the use ... Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to ...

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities of data scientists include a ...

Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision.

Brillient is seeking an experienced Data Scientist to join our team supporting a federal contract in Silver Spring, MD. This position requires U.S. Citizenship or a permanent resident and the ability ...

Data Scientist

Washington, DC ยท On-site

$114K - $190K/yr

MANTECH seeks motivated, career, and customer-oriented Data Scientist for a new initiative within ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

Sterling Heights, MI Salary: $57.00 USD Hourly - $58.00 USD Hourly Description: Our client is currently seeking a Data Scientist Position Description: Work as part of a team designing, building, and ...

Group Nine LLC is seeking a Data Scientist to develop and maintain data analytics solutions and machine learning algorithms. The role involves mentoring junior data scientists, enhancing the data ...

Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision.

Data Scientist

Washington, DC ยท On-site

$141K - $236K/yr

MANTECH seeks motivated, career, and customer-oriented Data Scientist for a new initiative within ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

We are seeking an experienced Data Science Engineer to join our team. The ideal candidate will have strong expertise in data science, machine learning, and AI-driven features that enhance decision ...

Job Title- Data Scientist Location- New York, NY 10112 Reporting Type- Onsite W2 candidates only preferred Green Card Holders and US Citizens only preferred Summary This role involves building and ...

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Hourly Data Scientist information

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$122.7K

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How much do hourly data scientist jobs pay per year?

As of Jun 14, 2026, the average yearly pay for hourly data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as an Hourly Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, usually supported by a degree in a STEM field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms is typically required. Excellent problem-solving, time management, and communication skills help hourly data scientists deliver impactful insights efficiently. These abilities are essential for providing high-quality, actionable solutions within time constraints in a flexible or contract-based work environment.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

How does the structure of hourly work impact collaboration and project involvement for data scientists?

As an hourly data scientist, you may be assigned to specific projects or tasks based on immediate business needs, which can mean working with different teams on a rotating basis. This structure offers flexibility and exposure to a variety of datasets and problems, but it can also present challenges in building long-term relationships or seeing projects through from start to finish. To succeed, it's important to communicate proactively, quickly adapt to new team dynamics, and document your work thoroughly for smooth handoffs. Many organizations use collaborative tools and regular check-ins to ensure hourly team members remain integrated and informed.

Which is better, DS or CS?

For an hourly data scientist role, both data science (DS) and computer science (CS) skills are valuable, but DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and the company's focus; many roles benefit from a combination of both skill sets. Having proficiency in tools like Python, R, and SQL is common in data science positions, while CS roles may require knowledge of systems and software engineering.

What are hourly data scientists?

Hourly data scientists are professionals who analyze and interpret complex data to help organizations make data-driven decisions, but they are paid on an hourly basis rather than receiving a fixed salary. Their tasks can include building predictive models, managing and cleaning data, and communicating findings to stakeholders. Hiring data scientists on an hourly basis allows businesses to access specialized expertise for specific projects or short-term needs without committing to a full-time hire.

What is the difference between Hourly Data Scientist vs Data Analyst?

AspectHourly Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentProject-based, consulting, or freelance settings; tech companies, finance, healthcareCorporate offices, research firms, marketing agencies
Employer & Industry UsageTech firms, startups, consulting agenciesBusiness, marketing, finance, healthcare
Common Search & ComparisonHourly Data Scientist vs Data Analyst

Hourly Data Scientists and Data Analysts often share similar educational backgrounds and work environments. However, Data Scientists typically handle more complex modeling, machine learning, and predictive analytics, while Data Analysts focus on data visualization, reporting, and descriptive analysis. The hourly rate for Data Scientists is generally higher due to the advanced skills required. Both roles are vital in data-driven industries, but their scope and responsibilities differ significantly.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and many successful data scientists start or transition into the role later in their careers. Skills in programming, statistics, and machine learning are more important than age, and continuous learning through online courses or certifications can help late entrants stay competitive.
More about Hourly Data Scientist jobs
What cities are hiring for Hourly Data Scientist jobs? Cities with the most Hourly Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Hourly Data Scientist jobs? States with the most job openings for Hourly Data Scientist jobs include:
Infographic showing various Hourly Data Scientist job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, 8% Full Time, and 84% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

AIS, Inc.

Miami, FL โ€ข On-site

Full-time

Medical, Dental, PTO

Posted yesterday


Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulation ns as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch.
Primary Function:
This role supports the integration, processing, and analysis of diverse data types to improve scientific understanding and operational efficiency across SEFSC survey programs.
Duties/Responsibilities:
  • Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data
  • Coordinate with project partners to ensure data collection and sensor configurations support downstream analytical and AI/ML applications
  • Maintain familiarity with diverse data types and assist with field data collection activities as needed
  • Organize and document datasets and metadata in accordance with established data management protocols
  • Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows
  • Support data curation and storage, including cloud-based data repositories
  • Assist with preparation and archiving of datasets in accordance with government data standards
  • Develop, test, and evaluate analytical workflows and models to improve data processing efficiency
  • Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems
  • Generate data products suitable for use by downstream scientific stakeholders (e.g., stock assessment scientists)
  • Maintain awareness of SEFSC analytical needs and existing workflows to align data science efforts with mission priorities
  • Participate in interdisciplinary working groups and collaborative research efforts
  • Support proposal development, manuscript review, and scientific reporting activities
  • Participate in outreach and stakeholder engagement activities as required
  • Prepare for and participate in scientific meetings, workshops, and symposia

Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.
Minimum Qualifications:
  • Master's degree in data science, computer science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience
  • Experience applying machine learning, statistical analysis, or advanced analytical techniques
  • Proficiency in programming languages such as Python or R
  • Experience working with large datasets and data management workflows
  • Familiarity with cloud computing platforms (e.g., Google Cloud Platform or similar)
  • Experience with relational databases
  • Strong written and oral communication skills
  • Ability to work collaboratively across multidisciplinary teams
  • Ability to translate complex datasets into actionable scientific products
  • Strong analytical and problem-solving skills
  • Ability to manage multiple datasets and analytical workflows simultaneously
  • Effective communication of technical concepts to non-technical stakeholders

Preferred Qualifications:
  • PhD in data science, computer science, marine science, or related field
  • Experience developing and deploying machine learning models
  • Experience with cloud-based ML workflows and scalable data processing
  • Experience working with fisheries, environmental, or ecological datasets
  • Experience with AI/ML model architecture and performance evaluation

Travel:
  • Travel required (limited) for field data collection, collaboration meetings, and scientific conferences.

Location:
  • Remote
  • Must be willing to relocate if needed.

Contact:
If you would like to apply for this exciting new opening, please visit our Careers Page to submit the required information:
  • Resume
  • Cover letter detailing relevant experience.
  • 3 professional references (name, email address and phone number)

All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our Talent Team or call 774-770-5833.
An Equal Opportunity Employer
It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.
Must be able to work in the U.S. โ€ข VEVRAA Federal Contractor โ€ข Request Priority Protected Veteran Referrals โ€ข Equal Opportunity Employer