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Executive Scientific Visualization Jobs in Raleigh, NC

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

Data Visualization Strategy : Guide the creation of informative and compelling data visualizations ... Partner with executive leadership and cross-functional teams to identify strategic opportunities ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

Data Visualization Strategy : Guide the creation of informative and compelling data visualizations ... Partner with executive leadership and cross-functional teams to identify strategic opportunities ...

Samprasoft

BI Engineer

Durham, NC · On-site

$46.25 - $60/hr

... and dashboard visualization Data Modeling methods and standard methodologies Sophisticated ... Computer Science or related degree. Strong statistical or quantitative background a plus.

Pwc

FP&A Tech, Anaplan Director

Raleigh, NC

$155K - $410K/yr

Accounting, Analytics/Data Science, Business Administration/Management, Computer Science ... executive-level client relations and mentoring future leaders - Promoting technological advances in ...

New

CYNET SYSTEMS

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

Experience supporting executive-level reporting and decision-making. Skills: * Power BI ... Data visualization. * Metadata management. * Documentation and reporting. * Data pipeline ...

Deloitte

Editor, Consumer Industry

Raleigh, NC

... data science and visualization professionals, designers, video strategists, and production ... board-level executives and other organizational leaders across industries. Recruiting for this ...

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Executive Scientific Visualization information

See Raleigh, NC salary details

$52.5K

$138.7K

$242.5K

How much do executive scientific visualization jobs pay per year?

As of Jun 25, 2026, the average yearly pay for executive scientific visualization in Raleigh, NC is $138,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $155,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Scientific Visualization vs Scientific Visualization Specialist?

AspectExecutive Scientific VisualizationScientific Visualization Specialist
Required CredentialsBachelor's or Master's in Science, Visualization, or related fields; experience in leadership rolesBachelor's or Master's in Science, Visualization, Computer Graphics, or related fields
Work EnvironmentLeadership, strategic planning, client interaction, project oversightHands-on visualization work, software development, data analysis
Employer & Industry UsageResearch institutions, biotech, pharma, scientific agenciesResearch labs, tech companies, scientific consulting firms
Common Search & ComparisonYesYes

Executive Scientific Visualization roles focus on leadership, strategic planning, and client engagement, often requiring advanced degrees and experience. Scientific Visualization Specialists perform technical, hands-on visualization work, emphasizing software skills and data analysis. Both roles are vital in scientific industries but differ mainly in responsibility level and focus.

Executive Scientific Visualization jobs near you

W2 Only :: Raleigh, NC (Hybrid) :: Senior Data Scientist Analytics & Strategy | Min 10+Years Exp...

Bitsoft International, Inc.

Raleigh, NC • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Scientist – Analytics & Strategy | Min 10+Years Exp. Required (Only G.C / U.S.C)

6+Months

Raleigh, NC (Hybrid) 

Minimum Qualifications:

  • 10+ years of professional experience in business analytics, data science, or strategic analytics roles.
  • Proven ability to connect data-driven insights with core business objectives and drive measurable outcomes.
  • Demonstrated initiative, strong ownership, and the ability to operate independently as well as effectively within diverse teams.
  • Track record of collaborating with multifunctional business units and translating analytical findings into actionable recommendations for business leaders.
  • Ability to influence cross-functional teams and stakeholders, even without direct reporting lines.
  • Exceptional verbal and written communication skills; adept at simplifying advanced analytical concepts for executive audiences and decision-makers.
  • Prior experience in a client-facing, management consulting, or high-velocity business environment.
  • Advanced proficiency in modern data analysis tools and programming languages, such as SQL, Python or R; experience with state-of-the-art visualization platforms (Tableau, Power BI, etc.).
  • Hands-on expertise applying statistical modeling, predictive analytics, and machine learning methodologies to solve business problems.
  • Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, or related).

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Preferred Qualifications:

  • 15+ years in advanced analytics, business intelligence, or data science—particularly within financial services, technology, or payments sectors.
  • Experience managing ambiguity to build scalable analytical solutions for complex business challenges.
  • Leadership history involving the rollout of large-scale, strategic analytics or data-driven transformation programs.
  • Master’s or PhD degree in a quantitative discipline (Econometrics, Applied Mathematics, Statistics, Data Science, or similar).
  • Background working for leading global companies or top consultancies.

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Key Responsibilities:

  • Lead analytical projects that inform and influence strategic decisions at the executive level.
  • Act as an internal consultant, collaborating with product, finance, operations, and technology teams to identify opportunities and design data-driven solutions.
  • Develop and deploy advanced statistical and machine learning models to address real-world business problems.
  • Present complex analysis through clear, compelling storytelling and visualization.
  • Mentor junior analysts and evangelize best practices in data science and analytics across the organization.

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