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Temporary Data Scientist Machine Learning Jobs in Raleigh, NC

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 ...

... 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

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 ...

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 ...

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 ...

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

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 ...

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 ...

Sr. Data Scientist

Raleigh, NC · On-site

$133 - $160/hr

As a Senior Data Scientist, you'll own the full lifecycle of intelligence solutions, from problem ... Leverage data analysis, machine learning, and predictive modeling to identify opportunities and ...

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 25, 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 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:

Senior Machine Learning Engineer

Raleigh, NC • On-site

Compunnel
IT Services • 501 - 1,000 employees

$101K - $139K/yr

Contractor

Posted 8 days ago


Job description

Job Summary:
We are seeking a Senior Machine Learning Engineer to help lead the design and validation of AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why, leveraging Python and large language models (LLMs) to solve complex legal workflows. You will drive experimentation, modeling, and evaluation, partnering closely with data scientists to translate validated approaches into scalable, customer-facing solutions.
Key Responsibilities:
• Design, build, and deploy scalable machine learning and generative AI solutions for legal technology products.
• Develop and optimize NLP, LLM, and Retrieval-Augmented Generation (RAG) applications for production environments.
• Engineer agentic AI workflows and multi-step reasoning systems to automate complex legal processes.
• Implement and improve retrieval systems, including vector databases, semantic search, lexical search, and hybrid search architectures.
• Build and maintain ML pipelines, APIs, model serving infrastructure, and cloud-based AI platforms.
• Establish MLOps best practices for model deployment, monitoring, observability, versioning, and lifecycle management.
• Evaluate and optimize model performance, latency, scalability, and cost efficiency across AI applications.
• Partner with product managers, legal subject matter experts, data scientists, and software engineers to deliver business-focused AI solutions.
• Troubleshoot production ML systems, identify performance bottlenecks, and implement continuous improvements.
• Provide technical leadership and mentorship on machine learning engineering, LLM architecture, and AI platform best practices.
Required Qualifications:
• 7-10+ years of AI/machine learning engineering experience, including building RAG systems end-to-end and deploying solutions through production.
• Strong software and Python engineering background, with progression into machine learning engineering.
• Experience designing agentic workflows and applying generative AI techniques, including prompt engineering and end-to-end RAG system development.
• Strong experience working with unstructured data, including text and documents, document processing, NLP, embeddings, retrieval, and agentic systems.
• Strong experience creating production-grade ML systems at scale.
• Strong LLM, Generative AI, and RAG deployment experience, including implementation and end-to-end evaluation.
• Experience with the complete deployment lifecycle, including product development, production maintenance, and new feature development.
• Experience working alongside data scientists throughout the production deployment and lifecycle.
• Strong Python programming skills.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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