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On Call Data Scientist Machine Learning Jobs in Raleigh, NC

PhD in computer science, data science, artificial intelligence, machine learning or related fields. * At least 3 years of experience in Deep Learning and ML * Excellent coding skills in languages ...

PhD in computer science, data science, artificial intelligence, machine learning or related fields. * At least 3 years of experience in Deep Learning and ML * Excellent coding skills in languages ...

PhD in computer science, data science, artificial intelligence, machine learning or related fields. * At least 3 years of experience in Deep Learning and ML * Excellent coding skills in languages ...

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

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

Machine Learning and AI Solutions : Lead the development and implementation of machine learning ... D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business ...

Machine Learning and AI Solutions : Lead the development and implementation of machine learning ... D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

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

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

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

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

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

... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

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 ...

VSCODE and PYCHARM Have communication skills 5+ years of experience in AI and machine learning Deep ... SQL Skills data science, nlp, indexing, semantic search, conversational search, langchain ...

... 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 ...

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On Call Data Scientist Machine Learning information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

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

As of Jun 28, 2026, the average yearly pay for on call 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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

What is the difference between On Call Data Scientist Machine Learning vs Data Scientist?

AspectOn Call Data Scientist Machine LearningData Scientist
CredentialsTypically requires a master's or PhD in data science, computer science, or related fields, with expertise in machine learningSimilar educational background, often with broader data analysis skills
Work EnvironmentOn-call basis, often in fast-paced settings, providing immediate solutions for machine learning issuesStandard office environment, focusing on data analysis, modeling, and reporting
Industry UsageCommon in tech, finance, healthcare where real-time machine learning support is neededWidespread across industries for data analysis and modeling tasks

While both roles require strong data science skills, the On Call Data Scientist Machine Learning specializes in providing immediate, on-demand support for machine learning systems, often in critical environments. A Data Scientist has a broader focus on data analysis, modeling, and insights without the immediate on-call requirement.

Which is better, DS or CS?

For an On Call Data Scientist Machine Learning role, both Data Science (DS) and Computer Science (CS) backgrounds are valuable, but DS focuses more on data analysis, modeling, and machine learning, while CS emphasizes algorithms, software development, and systems. The choice depends on the specific job requirements; roles often require knowledge of programming languages like Python or R, and familiarity with machine learning tools. Both fields can lead to similar career paths, but DS roles typically involve more data handling and statistical analysis, whereas CS roles may focus more on software engineering and system design.

What is the salary of a data scientist in machine learning?

The salary of a machine learning data scientist typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning or advanced analytics can earn higher compensation, often exceeding $160,000 per year.

Is 30 too late for data science?

For an On Call Data Scientist Machine Learning role, starting a career in data science at age 30 is feasible, especially with relevant skills in programming, statistics, and machine learning tools. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance employability regardless of age.
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:
Agentic AI Scientist

Agentic AI Scientist

AstraZeneca

Durham, NC • On-site

Part-time

Posted 7 days ago


AstraZeneca rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

16th of 73 rated pharmaceutical


Job description

Are you a driven Data Scientist with a robust foundation in traditional data science methods and a passion for Agentic AI, and human-in-the-loop (HITL) multi-agent systems? If so, an exciting opportunity awaits you at AstraZeneca!
We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments. PT&D leads the charge in developing cutting-edge synthetic routes, drug formulations and delivery technologies, ensuring our products are effective, safe, and of the highest quality.
Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems.
We are hiring two candidates for this position, and the roles will be based at our dynamic site in Durham (USA).
Work Modality: Hybrid (3 days office and 2 remote)
Accountabilities:
  • Drive innovation in agentic AI, multi-agent systems, and digital twins, exploring new methodologies and applications.
  • Design, implement, and optimize algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), and multi-agent reinforcement learning (MARL).
  • Evaluate agent performance in the context of decision making, collaboration, competition, uncertainty.
  • Collaborate with cross-functional teams ensuring knowledge transfer to IT engineering teams for IT solution builds and deployment.
  • Keep pace with industry advancements by reviewing academic papers and attending conferences. Publish findings in peer-reviewed journals and represent the company at scientific forums.
  • Communicate technical concepts and results to technical and non-technical audiences.

Essential skills/Experience:
  • PhD in computer science, data science, artificial intelligence, machine learning or related fields.
  • At least 3 years of experience in Deep Learning and ML
  • Excellent coding skills in languages such as Python, R.
  • Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning.
  • Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch,
  • Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI
  • Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines.
  • Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI.

Desirable skills/experience:
  • Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application.
  • Strong publication record in the field of AI.
  • Experience designing multi-agent systems in the pharmaceutical sector.
  • Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry.
  • Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
AstraZeneca is a place where change is embraced, and new solutions are trialed with patients and business in mind. Here, technology is a key lever for delivering medicines quickly, affordably, and sustainably. Our diverse workforce is united by curiosity, sharing learnings to scale fast. Be part of a digitally-enabled environment that impacts all parts of the business-from robotic process automation to machine learning for quality batches-while contributing to society and the planet.
Ready to make a difference? Apply now to join our team!
Date Posted
09-jun-2026
Closing Date
06-jul-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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