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Entry Level Meta Data Scientist Jobs in Raleigh, NC

AstraZeneca

Agentic AI Scientist

Durham, NC · On-site

Are you a driven Data Scientist with a robust foundation in traditional data science methods and a ... meta learning, explainable AI. When we put unexpected teams in the same room, we unleash bold ...

AstraZeneca

Agentic AI Scientist

Durham, NC · On-site

Are you a driven Data Scientist with a robust foundation in traditional data science methods and a ... meta learning, explainable AI. When we put unexpected teams in the same room, we unleash bold ...

AstraZeneca

Agentic AI Scientist

Durham, NC

Are you a driven Data Scientist with a robust foundation in traditional data science methods and a ... meta learning, explainable AI. When we put unexpected teams in the same room, we unleash bold ...

SynergisticIT

Entry Level C++ Developer

Raleigh, NC · On-site

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

SynergisticIT

Python/R Programmer - Entry

Durham, NC · On-site

For entry-level jobseekers to get interviews and jobs, they need to stand out by having strong ... Required Skills for Data Science/Machine Learning * Bachelor's or Master's degree in Computer ...

SynergisticIT

Tableau/Power BI developer - Junior

Raleigh, NC · On-site

$65K - $84K/yr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

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Entry Level Meta Data Scientist information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do entry level meta data scientist jobs pay per year?

As of Jun 24, 2026, the average yearly pay for entry level meta data scientist in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Meta Data Scientist vs Entry Level Data Analyst?

AspectEntry Level Meta Data ScientistEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; familiarity with machine learning and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization and basic analytics
Work EnvironmentTech companies, e-commerce, social media platforms, often collaborative and project-basedBusiness, finance, healthcare sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech-driven industries focusing on data modeling and machine learningCommon across various industries for data reporting and insights

Entry Level Meta Data Scientists focus on developing machine learning models and working with large datasets, often in tech environments. Entry Level Data Analysts primarily interpret data, create reports, and support decision-making. Both roles require strong analytical skills but differ in technical complexity and focus areas.

What are the most commonly searched types of Meta Data Scientist jobs in Raleigh, NC? The most popular types of Meta Data Scientist jobs in Raleigh, NC are:
What are popular job titles related to Entry Level Meta Data Scientist jobs in Raleigh, NC? For Entry Level Meta Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Meta Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Entry Level Meta Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level Meta Data Scientist jobs? Cities near Raleigh, NC with the most Entry Level Meta Data Scientist job openings:
Entry Level Meta Data Scientist jobs near you
Agentic AI Scientist

Agentic AI Scientist

AstraZeneca

Durham, NC • On-site

Full-time

Posted 2 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 71 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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