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Manager Meta Data Science Jobs in North Carolina

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 solving complex, high-value business problems through applied data science. This role defines how ...

Vangard, Inc.

Manager, Data Science

Charlotte, NC · On-site

Summary This role manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making in ...

Compunnel

Data Science Manager

Charlotte, NC · On-site

We are seeking an experienced Data Science Manager to lead a team of Data Scientists while contributing to the development, deployment, and scaling of production-grade machine learning and Generative ...

Varsity Tutors

Data Science Tutor

Matthews, 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

Charlotte, 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

Winston Salem, 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 ...

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

Greensboro, 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 ...

Sonsoft Inc

Data Modeling Consultant

Charlotte, NC · On-site

Experience with managing meta data for data models * To develop, publish, maintain all documentation for data models * Work with Business Analysts, Data Architects, Software developers, DBAs to ...

Varsity Tutors

Data Science Tutor

Wilmington, 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

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 ...

Sonsoft Inc

Data Modeler Architect

Charlotte, NC

Experience with managing meta data for data models * To develop, publish, maintain all documentation for data models * Work with Business Analysts, Data Architects, Software developers, DBAs to ...

Sonsoft Inc

Data Modeler Consultant

Charlotte, NC · On-site

$53.50 - $69.25/hr

... managing meta data for data models To develop, publish, maintain all documentation for data models Work with Business Analysts, Data Architects, Software developers, DBAs to achieve project ...

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Manager Meta Data Science information

What does a manager meta data science do?

A Manager of Meta Data Science leads a team of data scientists in developing and implementing advanced analytics, machine learning models, and data-driven strategies for Meta (formerly Facebook). They are responsible for overseeing projects, mentoring team members, collaborating with cross-functional partners, and ensuring that data science solutions align with business goals. This role often requires both technical expertise and strong leadership skills to drive impactful decisions using data. Additionally, they work to improve processes, set research direction, and communicate findings to stakeholders.

What are the key skills and qualifications needed to thrive as a manager meta data science?

To thrive as a Manager Meta Data Science, you need strong expertise in data science, machine learning, statistical analysis, and a relevant advanced degree, often in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms, as well as experience with big data frameworks, are typically required. Leadership, strategic thinking, and effective communication are crucial soft skills that enable success in managing teams and collaborating across departments. These skills are important because they ensure the ability to lead complex projects, drive data-driven decision-making, and align analytics goals with organizational objectives.

How does a manager meta data science typically collaborate with cross-functional teams, and what communication challenges might arise?

A Manager Meta Data Science frequently collaborates with product managers, engineers, data analysts, and business stakeholders to ensure data-driven decision-making aligns with organizational goals. One common challenge is translating complex data science concepts into actionable business insights that are easily understood by non-technical teams. Effective communication and regular alignment meetings are essential to bridge knowledge gaps and ensure everyone is on the same page. Building strong relationships across departments and fostering a culture of transparency can help mitigate misunderstandings and streamline project delivery.

What are the most commonly searched types of Meta Data Science jobs in North Carolina?

The most popular types of Meta Data Science jobs in North Carolina are:

What cities in North Carolina are hiring for Manager Meta Data Science jobs?

Cities in North Carolina with the most Manager Meta Data Science job openings:

Manager Meta Data Science jobs near you

Manager, Data Science

Raleigh, NC • On-site

McGough Construction
Construction • 501 - 1,000 employees
Learn more about McGough Constructionexternal

Full-time

Re-posted 28 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.
If you want to view the Know Your Rights: Workplace Discrimination is Illegal poster, please choose your language: English - Spanish - Arabic - Chinese
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If you want to view the Pay Transparency Policy Statement, please click the link: English

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