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Hourly Data Scientist Jobs (NOW HIRING)

PotomacWave Consulting

Data Scientist

Washington, DC · On-site

$125K - $155K/yr

PotomacWave is looking for a Data Scientist to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. This role ...

Clarity Innovations

Data Scientist

Fort Liberty, NC · On-site

Role This role is for a Data Scientist on a close-knit team supporting United States Army Special Operations Command (USASOC) at Fort Bragg, NC. This team is at the center of helping the command ...

neptune technologies

Data Scientist

Duluth, GA

Position Summary As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform.

Reyes Holdings

Data Scientist

Rosemont, IL

Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques * Document lessons learned and process improvement techniques * Travel up to 30% of the time * Other ...

Staffingine LLC

Data Scientist

Charlotte, NC · On-site

Data Scientist Job Location: Charlotte, NC Job Type: Contract * Expertise in machine learning statistical modelling and data thoughtfulness to develop and implement advanced algorithms and thoughtful ...

Lutron Electronics

Data Scientist

Boston, MA · On-site

As a Data Scientist, you will apply data science, analytics, machine learning, and AI to improve customer experiences, products, and business operations, collaborating with various teams to turn data ...

VTG

Data Scientist

Chantilly, VA

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have ...

CYNET SYSTEMS

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Provides hands-on execution and implementation of data science models. * Translates business analysis needs into well-defined data science problems, selecting appropriate models and algorithms.

Govcio LLC

Data Scientist

Fort George G Meade, MD · On-site

$156K - $176K/yr

GovCIO is currently hiring for a Data Scientist to define the characteristics of high-quality training data . This position will be located in Fort Meade, MD and will be an onsite position.

State Farm

Data Scientist

Bloomington, IL · Hybrid

Why Join Our Data Science Team? At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Why Join Our Data Science Team? At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Data Scientist Duration: 12+ Months Location: Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve, accelerate, and automate asset inspections processes Strong ...

Core Interface

Data Scientist

Chantilly, VA · On-site

Overview The Senior Data Scientist leads the design, development, and implementation of data-driven solutions that support strategic decision-making and mission objectives. This role works closely ...

VTG

Data Scientist

Mclean, VA

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and innovative team in Herndon, VA/Chantilly, VA. What will you do? * Collect, clean, and analyze large, complex ...

Nissan Motor Manufacturing UK

Data Scientist

Smyrna, TN · Hybrid

The Data Scientist owns end-to-end execution-from problem framing and solution design to model development, validation, and deployment-while partnering closely with stakeholders, product owners, and ...

Apex Informatics

Data Scientist

Irving, TX · On-site

Data Scientist Location: Irving, TX- 3 days in office. Duration: 6-12 months Detail Bachelor's degree in Computer Science, Statistics, Data Science, or a related field. Master's degree or higher ...

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All JobsHourly Data Scientist Jobs

Hourly Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do hourly data scientist jobs pay per year?

As of Jul 16, 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.

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.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and work in high-paying industries or senior roles. Achieving this level often requires a strong educational background, specialized certifications, and experience with tools like Python or R. Compensation varies by location, company size, and individual expertise.

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 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What is the hourly rate for a data scientist?

The hourly rate for a data scientist varies based on experience, location, and industry, but typically ranges from $30 to $80 per hour. Entry-level data scientists may earn closer to the lower end, while experienced professionals with specialized skills or certifications can earn toward the higher end of the range.
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:
What job categories do people searching Hourly Data Scientist jobs look for? The top searched job categories for Hourly Data Scientist jobs are:
Hourly Data Scientist jobs near you
Infographic showing various Hourly Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

PotomacWave Consulting

Washington, DC • On-site

$125K - $155K/yr

Full-time

Re-posted 4 days ago

Job description

PotomacWave is looking for a Data Scientist to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. This role will lead the development and implementation of advanced data science algorithms, machine learning models, and sophisticated data visualizations to solve complex analytic challenges for the mission, with a particular focus on improving data comprehension and driving data-driven decision-making processes.
Responsibilities:
  • Lead efforts to process large structured and unstructured datasets, developing and operationalizing data models, advanced analytic tools, and applications that optimize decision-making and enhance analytic throughput.
  • Design and implement advanced data collection, mining, clustering analysis, pattern recognition, and trends analysis techniques to develop actionable intelligence and inform strategic decisions.
  • Collaborate closely with analysts to build robust prototypes, prove complex concepts, and facilitate the widespread adoption of cutting-edge data science technologies and methodologies within the office.
  • Champion enterprise innovation, significantly increasing data awareness, and demonstrate the transformative value of advanced analytics and data visualization.
  • Stay abreast of bleeding-edge technology standards, industry trends, emerging technologies, and software development best practices, incorporating them into actionable strategies.
  • Architect and leverage advanced technologies including Python, R, AWS, Java, SQL, Tableau, D3JS, and Spark to analyze high volumes of data, reveal hidden patterns, and create compelling data narratives.
  • Lead the design and build of complex algorithms and machine learning models throughout the entire development lifecycle, ensuring scalability and operational effectiveness.
  • Evaluate and recommend advanced training opportunities, fostering a culture of continuous learning and skill development within the team.
  • Develop and codify structured processes for data-driven decision-making, leading initiatives to improve readership, feedback mechanisms, and overall analytic throughput.
  • Significantly contributes to the data science community by advocating for strategic data-driven quality projects and advanced process improvements.
  • Partner with cross-functional teams to meticulously document complex requirements, strategically leverage existing capabilities, and deliver high-impact products to customers.
  • Combine rigorous scientific method, advanced mathematics, statistics, specialized programming, and compelling storytelling to uncover deeply actionable insights and communicate them effectively.
  • Review mission needs, leading the evaluation of policy and program effectiveness through a data-centric lens.
  • Lead participation in enterprise-wide data science projects involving highly innovative approaches where precedents may not exist, setting new standards for the organization.
Qualifications:
  • A bachelor's degree in the following is required: data science, computer science, information science, mathematics, or statistics. A master's degree is preferred.
  • A professional certification in data science is required.
  • A minimum of four (4) years of experience in a data science related field.
  • The selection of an individual for this position may be conditioned upon their successful completion of a counterintelligence-scope polygraph examination.
  • Must be a U.S. Citizen and have an active DOE Q or Top-Secret clearance.

Salary range $125,000 - $155,000
Equal Opportunity Employer/Race/Sex/Religion/Disability/Veteran Status/Sexual Orientation/Gender Identity/National Origin/Age.

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