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Data Science Degree Jobs (NOW HIRING)

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, or related field * 6-10+ years of experience in data science, advanced analytics, or applied modeling * Proven experience ...

OVA.Work

Data Science Engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Required : • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. • 3-8+ years of experience in data engineering, software engineering, or ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, or related field * 6-10+ years of experience in data science, advanced analytics, or applied modeling * Proven experience ...

Integral

Senior Data Science Developer

Annapolis Junction, MD · On-site

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview Senior Data Science Developer Location: Annapolis Junction, MD (Hybrid) Clearance: Public ... JupyterLabs) • Master of Science degree Salary range: $155,000-$175,000 The above salary range ...

Novartis

Director, Data Science

East Hanover, NJ · On-site +1

$194K - $312K/yr

  • Medical

  • Retirement

  • PTO

Advanced degree in Computer Science, Engineering, Statistics, or related field * Minimum of 10 years of experience in data science, with 6 years of experience in the pharmaceutical industryis ...

Engine

Manager, Data Science

Your Mission We are seeking a Manager of Data Science to lead our talented team of data scientists ... Advanced degree (Master's or PhD) in a quantitative field (CS, Stats, Math, Physics) is a plus.

Totalwine

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's Degree Data Science, Computer Science, Statistics, Mathematics, Economics, or related field required or equivalent years of experience * Master's Degree Data Science, Computer Science ...

Boeing

Experienced Data Scientist

Hazelwood, MO · On-site

  • Medical

  • Life

  • Retirement

Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent ...

Boeing

Experienced Data Scientist

Hazelwood, MO · On-site

  • Medical

  • Life

  • Retirement

Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent ...

Integral

Senior Data Science Developer

Annapolis Junction, MD · On-site

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Data Science Developer Location: Annapolis Junction, MD (Hybrid) Clearance: Public Trust ... JupyterLabs) · Master of Science degree Salary range: $155,000-$175,000 The above salary range ...

Mayo Clinic

Data Science Analyst

Rochester, MN

$102K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Qualifications A Bachelor's degree in a relevant field such as engineering, mathematics, computer ... experience in data science will be considered. The preferred candidate will possess a Master ...

CookUnity

Director, Data Science/ML

OR · On-site +1

  • Medical

  • Vision

  • Retirement

  • PTO

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field ... Experience building data science teams from scratch or through periods of rapid growth * Prior work ...

Mayo Clinic

$102K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Qualifications A Bachelor's degree in a relevant field such as engineering, mathematics, computer ... experience in data science will be considered. The preferred candidate will possess a Master ...

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Data Science Degree information

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$37.5K

$122.7K

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How much do data science degree jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data science degree in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

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What cities are hiring for Data Science Degree jobs?

Cities with the most Data Science Degree job openings:

What states have the most Data Science Degree jobs?

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What job categories do people searching Data Science Degree jobs look for?

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Data Science Degree jobs near you
Infographic showing various Data Science Degree job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Manager, Data Science

McGough Construction

Raleigh, NC • On-site

Other

Re-posted 18 days ago

Job description

McGough is a respected partner that brings six generations of experience to high profile, unique and complex construction projects. We take great pride in our people and their extraordinary expertise in planning, development, construction and facility management. McGough employee tenure reflects the commitment and pride we share in our work. Ask anyone who knows us - the caliber of our people sets us apart.
MANAGER, DATA SCIENCE
The Manager of Data Science will build and lead a focused, high-impact team solving complex, high-value business problems through applied data science. This role defines how data science is used to improve how the business operates and makes decisions.
Operating in close partnership with business units, Central Analytics, and Data Engineering, this team functions as a high-leverage strike team, deploying into targeted, time-bound efforts (typically 8-24 weeks) to connect signals across the business and deliver measurable impact across cost, risk, and operational performance.
This role sets technical direction and ensures the team applies sound statistical and machine learning practices, while remaining grounded in real-world outcomes. The Manager is expected to stay hands-on, partially contributing to feature engineering, model development, evaluation, and production readiness to ensure solutions are not only technically sound, but usable and durable in practice.
Success in this role requires balancing analytical insight with operational reality, combining data with the experience and intuition of teams in the field to identify risks earlier, improve planning, and enable better decisions. This leadership role lives within the Digital Operations organization with responsibility for building and shaping the data science capability from the ground up as McGough continues to scale its investment in data, technology, and analytics.
QUALIFICATIONS:
Required:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, or related field
  • 6-10+ years of experience in data science, advanced analytics, or applied modeling
  • Proven experience building statistical or machine learning models and delivering them in real-world business contexts with measurable outcomes
  • Strong programming experience in Python (or equivalent), including data manipulation, modeling, and evaluation
  • Experience leading or mentoring analytical teams
  • Experience working with version control (e.g., Git) and structured development practices
  • Strong communication skills translating technical outputs into business decisions

Preferred:
  • Master's degree in Data Science, Statistics, Mathematics, Engineering or related field.
  • Experience in complex operational environments (construction, manufacturing, logistics, etc.)
  • Experience selecting, building, and evaluating machine learning models across multiple problem types
  • Experience with optimization, simulation, or advanced forecasting
  • Familiarity with modern data platforms and engineering concepts
  • Experience applying machine learning in real-world business settings

Skills:
  • Strong problem structuring and analytical reasoning
  • Ability to operate effectively with incomplete or imperfect data
  • Experience with statistical modeling, machine learning, or optimization techniques
  • Experience with model validation, feature engineering, and performance evaluation
  • Ability to design reproducible analytical workflows and structured development practices
  • Strong Python or equivalent analytical tooling proficiency
  • Clear communication of complex concepts into actionable decisions
  • Ability to balance analytical rigor with practical application

CORE RESPONSIBLITIES:
Problem Framing & Solution Design
  • Translate loosely defined business challenges into structured analytical problems
  • Define success criteria tied to business decisions and measurable outcomes
  • Determine appropriate approaches including forecasting, optimization, or modeling
  • Identify key assumptions, constraints, and risks early

Advanced Analytics Delivery
  • Lead development of predictive models, scenario analysis, and decision frameworks
  • Guide team through ambiguous data environments without stalling on perfection
  • Ensure outputs are actionable, interpretable, and aligned to business use
  • Guide model evaluation, validation, and performance monitoring practices
  • Ensure models are designed for production use, including scalability, robustness, and maintainability
  • Accountable for the full analytical lifecycle from problem framing through model development, validation, deployment readiness, and post-deployment performance tracking
  • Ensure analytical outputs are reproducible, well-documented, and stable enough for business use beyond initial delivery

Operating Model & Intake Discipline
  • Define and enforce intake criteria focused on high-value, non-routine problems
  • Prioritize work based on business impact rather than request volume
  • Manage project-based work cycles (8-24 weeks) with clear start and end points
  • Ensure completed work is transitioned to BI, Data Engineering, or business teams for ongoing use

Model Development & Production Readiness
  • Guide development of models and analytical workflows that can be reused or extended beyond one-time analysis
  • Establish lightweight practices for versioning, validation, and documentation of analytical work
  • Ensure clear ownership and transition plans for models after delivery (handoff to BI, Data Engineering, or business teams)
  • Define when analytical solutions require further operationalization versus remaining project-based

Team Leadership
  • Build and lead a small team of advanced analysts or data scientists
  • Act as a player-coach, contributing directly to complex analytical work
  • Set standards for analytical rigor, clarity, and business relevance
  • Develop team capability in both technical and business-facing skills

Additional Responsibilities
  • Actively contribute as a member of the Digital Operations group, collaborating to support shared goals and objectives
  • Attend and participate in project management and other company meetings
  • Represent McGough professionally at all events, upholding company standards and serving as a positive ambassador
  • Attend company and team meetings, pursuing ongoing personal and professional development to enhance skills and performance
  • Collaborate across departments and with external stakeholders to ensure cohesive project execution
  • Actively support and participate in Lean events, promoting the McGough Way and fostering a culture of continuous improvement

OFFICE AND TRAVEL:
  • Position will be based in McGough's Raleigh, NC Office.
  • McGough supports a hybrid work schedule, with exact days and times defined by manager and team.
  • Travel is expected to be approximately 25% consisting of quarterly trips to McGough's headquarters for various training or team building activities. Additional travel to various national office locations may be required as determined by the individual and their manager.

PHYSICAL REQUIREMENTS:
The physical requirements listed here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Position involves sitting for extended periods of time at employee's workstation and during meetings as well as while traveling, either by plane or car. Employee needs to be able to lift to 20 pounds as frequently as needed to move objects; dexterity to write and manipulate computer keyboard and mouse; ability to hear and speak clearly; and ability to distinguish between colors on graphs and charts.
Employee may be required to visit construction jobsites which may expose the employee to dirt, dust, uneven surfaces, outdoor weather conditions and extreme temperatures.
Accessibility: If you need an accommodation as part of the employment process please contact Human Resources at
Email:
Equal Opportunity Employer, including disabled and veterans.
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