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Manager Political Science Data Analytics Jobs in Raleigh, NC

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Operating in close partnership with business units, Central Analytics, and Data Engineering, this ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Operating in close partnership with business units, Central Analytics, and Data Engineering, this ...

McGough

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Operating in close partnership with business units, Central Analytics, and Data Engineering, this ...

Pwc

Managed Services - Data, Analytics & AI - Manager

Raleigh, NC · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients ...

Town of Chapel Hill, NC

HOUSING DATA ANALYST

Chapel Hill, NC · On-site

$67K - $88K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Knowledge of data science and analytics * Knowledge of housing concepts and performance measures ... Effectively manage multiple projects with deadlines * Plan, organize and present information in a ...

Kimley-Horn

Data Management Analyst

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Join our team as a Data Governance Analyst and assist the Data Governance Manager with development ... Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (or ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

Manage departmental budget, resource allocation, and infrastructure needs for data science ... LexisNexis is a data analytics company that provides information solutions and law legal databases ...

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Durham, NC · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Kimley-Horn

Data Management Analyst

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Overview Join our team as a Data Governance Analyst and assist the Data Governance Manager with ... Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (or ...

Varsity Tutors

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

LexisNexis Legal & Professional, part of RELX, provides information-based analytics and decision tools for professional and business customers. They are seeking a Senior Data Scientist to lead AI and ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

LexisNexis Legal & Professional, part of RELX, provides information-based analytics and decision tools for professional and business customers. They are seeking a Senior Data Scientist to lead AI and ...

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Showing results 41-60

All JobsPolitical Science Data Analytics JobsManager Political Science Data Analytics JobsManager Political Science Data Analytics Jobs in Raleigh, NC

Manager Political Science Data Analytics information

See Raleigh, NC salary details

$62.7K

$121.8K

$174K

How much do manager political science data analytics jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager political science data analytics in Raleigh, NC is $121,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $144,800.00 per year, depending on experience, location, and employer.

What does a manager political science data analytics do?

A Manager of Political Science Data Analytics leads teams that gather, analyze, and interpret data related to political science topics, such as voter behavior, election results, public opinion, and policy outcomes. They design research methodologies, oversee data collection and cleaning, and use statistical tools to find insights that inform political strategy or academic research. Additionally, they are responsible for communicating findings to stakeholders, ensuring the accuracy of the analysis, and staying updated with the latest trends in data analytics and political science.

How does a manager political science data analytics typically collaborate with cross-functional teams to support research initiatives?

A Manager Political Science Data Analytics often works closely with researchers, policy analysts, and IT professionals to design and implement data-driven research projects. They act as a bridge between technical data teams and subject matter experts, ensuring that data collection, analysis, and interpretation align with the goals of the research. Regular meetings, clear communication of analytical findings, and collaborative problem-solving are key aspects of the role. This collaborative environment helps translate complex data insights into actionable recommendations for policy development or academic research.

What are the key skills and qualifications needed to thrive as a manager political science data analytics, and why are they important?

To thrive as a Manager in Political Science Data Analytics, you need a strong background in political science, statistical analysis, and data interpretation, typically supported by an advanced degree in political science, statistics, or a related field. Expertise with data analytics tools like R, Python, SQL, and visualization platforms such as Tableau or Power BI, along with knowledge of data management systems, is essential. Strong leadership, critical thinking, and effective communication skills help you manage teams and clearly present complex insights to stakeholders. These competencies are vital for transforming data into actionable policy insights and guiding strategic decision-making within political or public sector organizations.

What are the most commonly searched types of Political Science Data Analytics jobs in Raleigh, NC?

The most popular types of Political Science Data Analytics jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Manager Political Science Data Analytics jobs?

Cities near Raleigh, NC with the most Manager Political Science Data Analytics job openings:

Manager Political Science Data Analytics jobs near you
Infographic showing various Manager Political Science Data Analytics job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Part Time. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $121,827 per year, or $58.6 per hour.

Manager, Data Science

McGough Construction

Raleigh, NC • On-site

Full-time

Re-posted 23 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: HR@mcgough.com
Equal Opportunity Employer, including disabled and veterans.
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