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Meta Data Scientist Jobs in Raleigh, NC (NOW HIRING)

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 ...

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 ...

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 ...

Duke University

Postdoctoral Associate

Durham, NC

The position will be focused primarily on implementation science projects, data analysis ... Demonstrated proficiency through previous systematic reviews (and meta-analysis). The ideal ...

Duke University

Postdoctoral Associate

Durham, NC

The position will be focused primarily on implementation science projects, data analysis ... Demonstrated proficiency through previous systematic reviews (and meta-analysis). The ideal ...

Lancesoft INC

Health Outcomes Researcher

Durham, NC · On-site

$55 - $60/hr

... meta-analyses, indirect treatment comparisons, and launch deliverables such as global value ... data in tangible terms for different audiences. * Manage internal and external stakeholder ...

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How much do meta data scientist jobs pay per year?

As of Jun 23, 2026, the average yearly pay for meta data scientist in Raleigh, NC is $119,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,100.00 per year, depending on experience, location, and employer.

What are some typical projects or challenges a Meta Data Scientist might encounter on the job?

As a Meta Data Scientist, you may work on projects ranging from large-scale data infrastructure optimization to advanced predictive modeling and experimentation. Challenges often include handling massive and complex datasets, ensuring data quality, and translating business needs into data-driven solutions. You'll likely collaborate closely with engineers, product managers, and other scientists to deliver impactful insights and scalable tools. This dynamic environment encourages creative problem-solving and offers opportunities for skill advancement and cross-functional learning. The role frequently involves balancing technical execution with clear communication to stakeholders.

What are the key skills and qualifications needed to thrive in the Meta Data Scientist position, and why are they important?

To thrive as a Meta Data Scientist, you need a strong background in statistics, machine learning, data analytics, and computer science, often supported by an advanced degree in a relevant field. Familiarity with programming languages like Python or R, cloud computing platforms, big data tools such as Spark or Hadoop, and certifications in data science or analytics are highly valuable. Strong collaborative, problem-solving, and communication skills help foster insights and share results effectively across multidisciplinary teams. These skills are essential for building scalable models, generating actionable data-driven insights, and effectively contributing to organizational innovation.

Is 40 too late for data science?

Meta Data Scientist roles, like many data science positions, do not have strict age limits. Success depends on skills, experience, and continuous learning, such as proficiency in programming languages like Python or R and understanding of machine learning tools. Age should not be a barrier if you have relevant expertise and stay current with industry developments.

Does Meta hire data scientists?

Yes, Meta hires data scientists to analyze large datasets, develop algorithms, and support product development. Candidates typically need strong skills in statistics, programming (such as Python or R), and experience with machine learning tools. Data scientist roles at Meta are often based in their offices and require relevant educational backgrounds and experience.

What is a Meta Data Scientist job?

A Meta Data Scientist at Meta (formerly Facebook) uses data analysis, machine learning, and statistical techniques to drive business decisions and improve products. They work with large-scale datasets to extract insights, optimize algorithms, and enhance user experiences. Responsibilities often include A/B testing, predictive modeling, and collaborating with engineers and product teams. The role requires strong programming skills (Python, SQL, R), expertise in statistical analysis, and experience with data visualization. Typically, candidates have backgrounds in computer science, mathematics, or related fields.

How much does a meta data scientist make?

A data scientist at Meta typically earns between $100,000 and $160,000 annually, with senior roles reaching higher salaries. Compensation often includes bonuses and stock options, and strong skills in machine learning, statistics, and programming are highly valued.

What is the 80 20 rule in data science?

The 80/20 rule in data science, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or models to improve efficiency and outcomes in their analyses.
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Meta Data Scientist jobs near you
Agentic AI Scientist

Agentic AI Scientist

AstraZeneca

Durham, NC

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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