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Hourly Data Scientist Jobs (NOW HIRING)

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 ...

Data Scientist

Washington, DC · On-site

$94K - $141K/yr

Project Summary The Data Scientist will support data-driven decision-making by collecting, integrating, analyzing, and visualizing complex datasets. This role focuses on developing analytical models ...

Data Scientist

Washington, DC · On-site +1

$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 ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

Data Scientist Location: VA-Virginia/Arlington, VAF Role: Develop & maintain data analytics solutions and machine learning algorithms. Mentor junior data scientists, further develop the data science ...

New

As a data scientist at Microsoft AI, you will be tasked with helping us to maximize our GPU utilization while solving real issues in the AI frontier. Are you passionate about solving the most ...

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 ...

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.

ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI. As a Data Scientist your work may be focused in a variety ...

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 ...

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 ...

Overview We are 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 ...

R0241243 Data Scientist The Opportunity: In this role, you will apply data science techniques and met hods and leverage a suite of data-driven tools to aid the client's service leadership and subject ...

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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 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

Full-time

Posted 4 days ago


Job description

Company Description

Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals.
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, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics.

Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default)

With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events.
Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns.

Job Description

Role: Data Scientist

Location: Madison, WI

Full Time (Direct Hire)

Job description

         5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science.

         Experience in Statistical modeling.

         Candidate will be helping the client to lead this process or improve upon the program.

         Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing.

         Extremely efficient in Python and R.

         Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must.

         Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge.

         MS in AI/Data Science would also be a plus.

Qualifications

Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning

Additional Information

Thanks & Regards,

Aditya Prakash | Resource Manager | Innovizant LLC

Phone : 630-685-1260

aditya.prakash(AT)innovizant(DOT)com