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Data Science Project Manager Jobs in Raleigh, NC

Bachelor of science degree in engineering, project management, or other technical discipline or ... equivalent work experience and training * Demonstrated proficiency in project management techniques ...

... managing multiple projects with tight deadlines in a collaborative environment Preferred ... Data Science, Computer Science, or Engineering 2. Four years of relevant work experience if ...

These deliver high quality epigenomic data at a cost and ease-of-use accessible to a broad range of ... From our strong scientific expertise and rigor, to our focus on customer success, EpiCypher is ...

Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics ... Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning ...

Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics ... Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning ...

Project Manager Pharmaceutical Analytical Outsourcing Employment Type: Full-Time (Hybrid) Summary ... Ability to interpret and communicate complex scientific data. * Familiarity with pharmaceutical ...

Project Manager Pharmaceutical Analytical Outsourcing Employment Type: Full-Time (Hybrid) Summary ... Ability to interpret and communicate complex scientific data. * Familiarity with pharmaceutical ...

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Data Science Project Manager information

See Raleigh, NC salary details

$16

$55

$78

How much do data science project manager jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data science project manager in Raleigh, NC is $55.90, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $65.43 per hour, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Project Managers are in high demand due to the rapid growth of data-driven decision-making across industries. They oversee data projects, coordinate teams, and require skills in analytics tools, project management, and communication. The role is considered one of the most sought-after careers in the 21st century for its impact and earning potential.

What is a Data Science Project Manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

Is 40 too late for data science?

For a Data Science Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and understanding business needs, regardless of age.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of technical expertise, certifications, and leadership responsibilities.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Data Science Project Manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Gaining experience in managing teams, understanding project workflows, and obtaining certifications like PMP can facilitate this transition.
What are popular job titles related to Data Science Project Manager jobs in Raleigh, NC? For Data Science Project Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Raleigh, NC look for? The top searched job categories for Data Science Project Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Science Project Manager jobs? Cities near Raleigh, NC with the most Data Science Project Manager job openings:
Data Science Senior Advisor (Pricing & Underwriting) - Remote

Data Science Senior Advisor (Pricing & Underwriting) - Remote

Cigna

Raleigh, NC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Cigna Healthcare rating

8.4

Company rating: 8.4 out of 10

Based on 234 frontline employees who took The Breakroom Quiz

27th of 882 rated healthcare providers


Job description

Summary

Using your knowledge of statistics, healthcare, and ML / AI you will build models to help identify opportunities for our pricing and underwriting partners. You will perform feature engineering, model development, and model monitoring / maintenance using a broad range of medical, prescription drug, utilization management, and third-party data. In this role you will work closely with leadership, data scientists, business stakeholders and engineering partners to deliver robust well-documented deliverables that will enhance our competitive position in the marketplace.

Responsibilities

  • Contribute to the development of comprehensive analytics that facilitate best in class pricing and underwriting

  • Execute special projects that can improve Commercial Healthcare underwriting

  • Utilize data science and advanced analytics to create actionable insights and recommendations for business leaders to advance Cigna's strategic objectives

  • Regularly communicate work with business stakeholders and senior leadership

  • Stay up to date on latest analytic tools and techniques and strategize how to leverage these tools to modernize our pricing/UW organizations

  • Ensure solutions drive long term value while also ensuring they can integrate with current processes

  • Test & Learn Pilots: collaborate with business leaders to design, launch and measure robust pilots to test new solutions

  • Develop models that foster underwriting and actuarial advancement by aligning business problems to a potential solution like GLMs, Machine Learning, Clustering, LLMs or other advanced techniques

Qualifications:

  • 5+ years direct Data Science experience in a healthcare related environment

  • Strong background in stats, ML and model development

  • Experience deploying ML/predictive models to prod/cloud env't

  • Strong skills with Python, SQL, Git, Keras and TensorFlow

  • Knowledge of common health care data e.g., claims, EHR, laboratory data

  • Experience with best programming practices and writes clean, documented, and well-structured code

  • Ability to peer review

  • Champions a culture of documentation and logging

  • Ability to own a project end-to-end e.g., scoping, ideation, dev, prod

  • Ability to independently deliver clear and well developed presentations for both technical and business audiences

  • Ability to create DS-specific project goals associated within high level project deliverables

  • Ability to articulate timeline changes, rationale, and goals to meet deadlines moving forward

  • Prefer MS or PhD in STEM related fields


If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 131,200 - 218,600 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here.

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.


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