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Senior Golf Analytics Jobs in Virginia (NOW HIRING)

... golf, and much, much more. If we've described you and your dream workplace, please apply and share ... Analyze complex business, system, data, infrastructure, and application requirements and translate ...

... golf, and much, much more. If we've described you and your dream workplace, Senior Applications ... Analyze complex business, system, data, infrastructure, and application requirements and translate ...

Sr. Accountant

Chantilly, VA · On-site

$76K - $96K/yr

About GOLFZON GOLFZON is the global leader in golf simulator technology, bringing world-class ... Analyze financial results and investigate significant variances. Subsidiary & Retail Operations ...

Senior Data Engineer

Arlington, VA

$121K - $165K/yr

Lead the development of batch and streaming capabilities supporting operational, analytical, and AI ... Annual social events (540 Week, hackathon, charity golf tournament, etc.) * Access to 540 ...

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

Lead the development of batch and streaming capabilities supporting operational, analytical, and AI ... Annual social events (540 Week, hackathon, charity golf tournament, etc.) * Access to 540 ...

Senior Software Engineer (AI/ML)

Arlington, VA · On-site

$140K - $185K/yr

... process, and analyze high-volume, time-series data. The system leverages cloud-native ... Annual social events (540 Week, hackathon, charity golf tournament, etc.) * Access to 540 ...

... process, and analyze high-volume, time-series data. In this role, you will lead technical ... Annual social events (540 Week, hackathon, charity golf tournament, etc.) * Access to 540 ...

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

Lead the development of batch and streaming capabilities supporting operational, analytical, and AI ... Annual social events (540 Week, hackathon, charity golf tournament, etc.) * Access to 540 ...

Senior Cloud Engineer

Arlington, VA · On-site

$64.25 - $85.75/hr

... analyze high-volume, time-series data. In this role, you will design, build, and maintain cloud ... Annual social events (540 Week, hackathon, charity golf tournament, etc.) * Access to 540 ...

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Showing results 1-20

Senior Golf Analytics information

What does a senior golf analytics professional do?

A Senior Golf Analytics professional analyzes data from golf games, players, and courses to provide insights that improve performance and strategy. They use statistical techniques, data modeling, and advanced software tools to interpret large sets of data, often working with coaches, players, and management teams. Their work helps inform decision-making about player development, equipment choices, and competitive tactics. Additionally, they may present findings in reports or visualizations and advise on the adoption of new technologies in the sport.

How does a senior golf analytics professional typically collaborate with coaches and players to improve performance?

Senior Golf Analytics professionals work closely with coaches and players to translate complex data into actionable insights. They often participate in strategy meetings, provide detailed performance reports, and use advanced statistical models to identify strengths and areas for improvement. Effective communication and a strong understanding of the game are essential, as the role requires balancing technical analysis with practical advice that coaches and athletes can readily apply. This collaborative approach not only enhances individual performance but can also inform broader team strategies.

What are the key skills and qualifications needed to thrive as a senior golf analytics professional, and why are they important?

To thrive as a Senior Golf Analytics professional, you need strong expertise in data analysis, statistical modeling, and a solid understanding of golf metrics, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with data analysis tools such as Python, R, SQL, and golf-specific analytics platforms is essential. Excellent communication, attention to detail, and the ability to translate complex data into actionable insights are valuable soft skills. These skills enable effective interpretation of golfing data to support player development, strategy, and decision-making in competitive environments.

What is the difference between Senior Golf Analytics vs Golf Data Analyst?

AspectSenior Golf AnalyticsGolf Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; experience in golf industryBachelor's in Data Science, Analytics, or related field; entry to mid-level experience
Work EnvironmentCorporate golf organizations, sports analytics firms, or golf equipment companiesGolf courses, sports analytics firms, or golf equipment companies
Employer & Industry UsageUsed for strategic decision-making, player performance analysis, and business insightsFocuses on data collection, analysis, and reporting related to golf performance and operations

The main difference is that Senior Golf Analytics roles typically involve higher-level strategic responsibilities, leadership, and advanced analytics, while Golf Data Analysts focus on data collection, basic analysis, and reporting. Senior roles require more experience and often oversee projects or teams, whereas Data Analysts support operational and performance insights at a more technical level.

What job categories do people searching Senior Golf Analytics jobs in Virginia look for?

The top searched job categories for Senior Golf Analytics jobs in Virginia are:

What cities in Virginia are hiring for Senior Golf Analytics jobs?

Cities in Virginia with the most Senior Golf Analytics job openings:

Senior Applications Engineer

Fort Belvoir, VA • On-site

Electrosoft
Network Security • 51 - 200 employees

Full-time

Posted 20 days ago


Job description

Electrosoft Services, LLC is an award-winning company that provides comprehensive technology-based solutions and services to federal customers. While cybersecurity is our specialty, we also focus on ICAM, Zero Trust, digital engineering and transformation, and enterprise AI and intelligent automation. We always seek to delight our customers, so we retain highly qualified employees and offer them meaningful work, growth opportunities, and work-life balance. What sets us apart from all other contractors is the sense of teamwork our employees feel - and the knowledge that outstanding effort is recognized and rewarded. The camaraderie we share emanates from Lunch & Learn sessions where we explore new ideas together, fun group activities ranging from escape rooms to miniature golf, and much, much more. If we've described you and your dream workplace, please apply and share in the many benefits and opportunities we offer.
Senior Applications Engineer
Position Summary
We are seeking a highly experienced Senior Applications Engineer to lead the design, development, integration, deployment, and sustainment of advanced Artificial Intelligence (AI), Machine Learning (ML), and predictive analytics solutions supporting the customer. The successful candidate will translate complex business requirements into secure, scalable AI/ML solutions operating within an AWS GovCloud environment and will support mission-critical DoD logistics capabilities.
Key Responsibilities
  • Analyze complex business, system, data, infrastructure, and application requirements and translate them into AI/ML solution designs.
  • Design, develop, test, deploy, and sustain machine learning models, analytics platforms, and supporting application components.
  • Lead development of predictive, prescriptive, and generative AI capabilities supporting logistics, supply chain, security, infrastructure, and operational use cases.
  • Develop reusable software tools, data pipelines, APIs, model components, and application subsystems that support software reuse and domain analysis.
  • Collaborate with Government stakeholders, hosting architects, cybersecurity teams, administrators, and technical SMEs to identify, prioritize, and implement high-value AI/ML use cases.
  • Support AWS GovCloud implementation activities, including development, test, and production environments.
  • Support Agile, DevSecOps, configuration management, release management, and Infrastructure-as-Code practices.
  • Develop and maintain technical documentation including design specifications, solution architecture documentation, requirements traceability matrices, test plans, test results, deployment plans, POA&Ms, and security artifacts.
  • Support system testing, including unit, system, interface, regression, performance, integration, interoperability, negative, security, Section 508, and user acceptance testing.
  • Support cybersecurity compliance activities including RMF, ATO artifacts, Zero Trust controls, CAC/PKI authentication, encryption at rest, vulnerability remediation, and IL-5 cloud hosting requirements.
  • Monitor deployed model and application performance and recommend enhancements to improve accuracy, scalability, resilience, usability, and operational value.
  • Provide technical leadership and mentorship to software developers, analysts, testers, and engineering team members.

Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, Artificial Intelligence, or another technical discipline.
  • Minimum ten (10) years of relevant technical experience.
  • US Citizenship
  • Experience analyzing complex system requirements and designing software tools, subsystems, or enterprise application components.
  • Experience developing and deploying AI/ML, predictive analytics, or data science solutions in production or mission-oriented environments.
  • Strong software engineering background with Python or other modern programming languages used for production AI/ML development.
  • Experience with data engineering, data pipelines, model development, model testing, and model sustainment.
  • Experience with cloud-native application development, preferably in AWS or AWS GovCloud environments.
  • Experience developing scalable APIs, services, dashboards, or application capabilities supporting operational users.
  • Ability to produce high-quality technical documentation and communicate clearly with technical and non-technical stakeholders.
  • Ability to work in a regulated Federal or DoD environment with strong attention to cybersecurity, privacy, and configuration management.

Preferred Qualifications
  • Experience supporting Department of Defense, Federal Government, or large-scale mission systems.
  • Experience with logistics, supply chain, transportation, financial, geospatial, sensor, or transactional data analytics.
  • Experience with AWS services such as SageMaker, Bedrock, Lambda, Glue, S3, IAM, CloudWatch, and related AI/ML or data services.
  • Experience with MLOps, CI/CD pipelines, Kubernetes, Docker, Terraform, or similar DevSecOps tooling.
  • Experience with Large Language Models, Generative AI, graph neural networks, time-series analytics, anomaly detection, fraud detection, insider threat detection, or recommendation engines.
  • Experience supporting RMF, ATO, STIG, ACAS remediation, POA&M development, or Section 508 compliance.
  • Active or previous Tier 3 (T3), NACLC, IT-II, or higher background investigation or clearance eligibility.

Electrosoft is an Equal Opportunity Employer/Veterans/Disabled