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Data Science Project Manager Jobs in Mount Olive, MS

Senior Data Scientist

Laurel, MS · On-site

$110 - $150/hr

Experience with project management and/or leading technical teams About Us The Johns Hopkins ... science challenges. While we are dedicated to solving complex challenges and pioneering new ...

(USA) Realty Project Coach

Laurel, MS · On-site

$60K - $110K/yr

Bachelor's degree in business or related field and 1 year of experience in project management, space management, store design, operations, data analysis, or related area OR 3 years of experience in ...

(USA) Realty Project Coach

Laurel, MS · On-site

$60K - $110K/yr

Bachelor's degree in business or related field and 1 year of experience in project management, space management, store design, operations, data analysis, or related area OR 3 years of experience in ...

Department Supervisor

Laurel, MS · On-site

$60K - $110K/yr

Bachelor's degree in business or related field and 1 year of experience in project management, space management, store design, operations, data analysis, or related area OR 3 years of experience in ...

Apartment Maintenance Manager

Laurel, MS · On-site

$19.50 - $24.25/hr

We embrace digital transformation, data-driven decision-making, and emerging technologies ... Work independently on routine projects and receive assistance for more complex projects.

Safety, Health & Environmental Manager

Ellisville, MS · On-site

$70K - $95K/yr

Support sustainability projects focused on waste reduction, water usage, energy efficiency, and ... Master's degree in Environmental Health & Safety, Environmental Science, Industrial Hygiene ...

Store Supervisor

Laurel, MS · On-site

$60K - $110K/yr

Bachelor's degree in business or related field and 1 year of experience in project management, space management, store design, operations, data analysis, or related area OR 3 years of experience in ...

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Data Science Project Manager information

See Mount Olive, MS salary details

$13

$46

$64

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

As of Aug 19, 2026, the average hourly pay for data science project manager in Mount Olive, MS is $46.16, according to ZipRecruiter salary data. Most workers in this role earn between $39.95 and $54.04 per hour, depending on experience, location, and employer.

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.

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 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.

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.

Senior Data Scientist

AIToolboard

Laurel, MS • On-site

$110 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Johns Hopkins Applied Physics Laboratory Laurel, US

Full-time

About the Role

DescriptionAre you passionate about building solutions for our greatest national security challenges?Are you searching for engaging work with an employer that prioritizes impact, innovation, and personal development?Do you value working in a creative and collaborative environment?If so, we're looking for someone like you to join our team at APL.The Threat Analytic Systems (QAI) Group is seeking talented team members who will help provide our nation with ground-breaking capabilities that bridge the gaps between data, the latest developments in technology, and real-world impact of national importance. We need talented engineers, scientists, and developers with curiosity and a drive for learning!As a member of our team, you will…

  • Apply expertise in artificial intelligence, machine learning, statistical analysis, and/or software development to solve challenging data analysis problems for our sponsors
  • Research, develop, evaluate, and deploy innovative techniques and technologies in the fields of data science and artificial intelligence
  • Develop prototype software to gather, process, and analyze intelligence data from various sources
  • Effectively communicate ideas and results through papers and presentations to technical staff, management, and government decision makers

QualificationsYou’ll meet our minimum requirements if you have…

  • A Master’s or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or related engineering field
  • Experience with artificial intelligence, machine learning, and statistical analysis
  • Proven track record in designing and developing algorithms and implementing systems for solving interdisciplinary problems
  • Hands-on experience with Python
  • Comfort working with loosely defined or high-level requirements
  • Ability to work on and set priorities for multiple dynamic projects, independently or within a team, to support evolving national security requirements
  • Strong problem solving, analytical, and organizational skills
  • Demonstrated initiative
  • Excellent written and verbal communication skills
  • Have the ability to obtain a TS/SCI+poly level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you have…

  • Experience with project management and/or leading technical teams
About Us

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistanc

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