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Temporary Data Scientist Machine Learning Jobs in Raleigh, NC

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Build data science solutions for business challenges including customer propensity, product ... Use machine learning, data mining, and statistical methods to distill meaningful insights from ...

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ... Design and prototype machine learning models - including pricing recommendation, deal win ...

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ... Design and prototype machine learning models - including pricing recommendation, deal win ...

Title: Sr. Data Scientist II Location: Raleigh, NC Duration: Long Term Rate: W2 Only locals-F2F ... Strong experience in machine learning, NLP, and LLM-based modeling. * Proven experience designing ...

New

Senior Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Job Summary: We are seeking a Senior Machine Learning Engineer to help lead the design and ... You will drive experimentation, modeling, and evaluation, partnering closely with data scientists ...

New

... data and presenting your findings to high-level customers. Responsibilities : • help CoVar ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable ... Leverage data analysis, machine learning, and predictive modeling to identify opportunities and ...

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable ... Leverage data analysis, machine learning, and predictive modeling to identify opportunities and ...

... customer problems • work with data, develop algorithms, evaluate results, and write the ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Durham, NC · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Raleigh, NC · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

You will work with data, develop algorithms, evaluate results, and write the production code that ... S. or Ph.D in engineering, math, computer science, or related field * Excellent technical ...

Process, transform, visualize, and analyze data to guide the design and training processes of ... Bachelor's degree or higher in Computer Science, Computer Engineering or a related field required ...

Showing results 41-60

Temporary Data Scientist Machine Learning information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do temporary data scientist machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for temporary data scientist machine learning in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

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 Raleigh, NC?

The most popular types of Data Scientist Machine Learning jobs in Raleigh, NC are:

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Raleigh, NC?

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

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

The top searched job categories for Temporary Data Scientist Machine Learning jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Temporary Data Scientist Machine Learning jobs?

Cities near Raleigh, NC with the most Temporary Data Scientist Machine Learning job openings:

Principal Data Scientist

Redhat

Raleigh, NC • On-site, Remote

$147K - $243K/yr

Full-time

Re-posted 13 days ago


Job description

*Telecommuting role to be performed anywhere in the U.S.

Build data science solutions for business challenges including customer propensity, product forecasting, and recommender systems. Use machine learning, data mining, and statistical methods to distill meaningful insights from large, complex dataset.

What You Will Do:

  • Participate in end-to-end development, from requirements gathering to validation and implementation.
  • Work closely with data engineering and ML Ops functional roles to operationalize data science solutions through automation and continuous delivery.
  • Implement monitoring for data science solutions to identify model degradation, data drift, and concept drift, and ensuring that the model is maintaining an acceptable level of performance.
  • Directly engage with key decision makers across the business to iterate, test, and deliver solutions that improve the way we operate.

What You Will Bring:

  • Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Analytics, or related field and three (3) years of experience in the job offered or related role.
  • Must have three (3) years of experience with: developing production-grade data science models; statistics and machine learning models and algorithms; producing well-documented, well-formatted code using object-oriented design principles, including Python; feature engineering using statistical techniques; data querying and transformation, including SQL; and working with engineering and ML Ops team members to develop and operationalize data science solutions, including migrating prototypes into production environments.

#LI-DNI

The salary range for this position is $147,470 - $243,350/year. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.