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Temporary Data Scientist Machine Learning Jobs in Raleigh, NC

Lead Data Scientist

Raleigh, NC ยท On-site

$104K - $174K/yr

Leading the development of advanced AI and machine learning models to solve complex business problems * Working closely with other data scientists and engineers to design, develop, and deploy AI ...

Lead Data Scientist

Raleigh, NC ยท On-site

$104K - $174K/yr

Leading the development of advanced AI and machine learning models to solve complex business problems * Working closely with other data scientists and engineers to design, develop, and deploy AI ...

Our Data Science and Engineering team in R&D Digital is seeking a motivated Machine Learning Engineer who will drive the development and deployment of advanced computer vision and machine learning ...

Data Scientist

Raleigh, NC ยท On-site +1

Apply statistical theory, machine learning algorithms, NLP and Transformer-based architectures ... data science, and business teams using JIRA; applying Natural Language Processing (NLP) and Deep ...

We are seeking a Senior Data Scientist to lead the design and validation of AI-driven product ... This role focuses on defining what to build and why, leveraging machine learning, NLP, and large ...

Senior Data Scientist III

Raleigh, NC ยท On-site

$115K - $192K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members. Responsibilities * Working closely with other data scientists and engineers ...

Senior Data Scientist III

Raleigh, NC ยท On-site

$115K - $192K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members. Responsibilities * Working closely with other data scientists and engineers ...

Senior Data Scientist III

Raleigh, NC ยท On-site

$115K - $192K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members. Responsibilities * Working closely with other data scientists and engineers ...

Principal Data Scientist

Raleigh, NC ยท 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 ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Senior Machine Learning Engineer

Raleigh, NC ยท 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 ...

Showing results 21-40

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 Sep 11, 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:

Lead Data Scientist

Raleigh, NC โ€ข On-site

RELX Group plc
Technology, Communication and Mediaย โ€ขย 10K+ employees

$104K - $174K/yr

Full-time

Re-posted 19 days ago


Job description

About Us:
LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.
About the Role:
Are you looking to develop your Data Scientist career?
Do you enjoy coaching others to achieve high standards?
We are seeking a Lead Data Scientist toleads a team of junior members to support their development and work product. You will define the scope of a project and execute that project as a team. As a Lead you will support the development and training of junior members and develop best practices as team leaders.
For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.
Responsibilities:
  • Leading the development of advanced AI and machine learning models to solve complex business problems
  • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions
  • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs
  • Analyzing large datasets to identify patterns and trends that can inform AI development
  • Communicating findings and insights to stakeholders in a clear and concise manner
  • Staying current with the latest AI and machine learning trends and technologies
  • Mentoring junior data scientists and provide guidance on AI and machine learning best practices
  • Driving best practices across our data science functions
  • Setting strategy and team direction, with a clear vision for Data Science
  • Working with product leaders to apply data science solutions.
  • Evaluating and creating new frameworks and defining methodologies and governance
  • Leading small- to medium-sized teams
  • Setting a high bar for model development

Requirements:
  • Have substantial experience in a senior data scientist role
  • Have experience in leading complex projects and customer relationships
  • Have significant experience in leading technical teams
  • Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues
  • Be a natural problem solver, able to take a lead in collaborating to resolve issues
  • Have excellent communication skills and the ability to convey information clearly to senior stakeholders

Highly Desired Skills and Experience:
  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field
  • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
  • Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
  • Experience with reinforcement learning, prompt engineering, hallucination mitigation
  • Working understanding of the business risks associated with applying LLM in a business
  • Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
  • Strong coding skills in Python or another programming language
  • Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
  • Strong problem-solving skills and the ability to think outside the box
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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