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Remote Golf Data Analytics Jobs in Virginia (NOW HIRING)

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC ® is a premier Fortune ... Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models ...

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics * Operations Research ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics * Operations Research ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

General information Job Posting Title Data Coordination Analyst Date Friday, June 26, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is searching for ...

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Remote Golf Data Analytics information

What is a Remote Golf Data Analytics job?

A Remote Golf Data Analytics job involves analyzing data related to golf, such as player performance, course statistics, and tournament outcomes, while working from a remote location. Professionals in this role use statistical tools and software to gather insights, create reports, and help improve decision-making for golf teams, organizations, or technology platforms. Responsibilities may include data collection, model building, and interpreting trends to enhance player development or fan engagement. Working remotely allows analysts to collaborate with clients or teams worldwide, often using cloud-based systems and communication tools.

What are some common challenges faced by professionals in remote golf data analytics roles, and how can they be addressed?

Remote golf data analytics professionals often encounter challenges like accessing real-time data from various courses, ensuring data accuracy, and effectively communicating insights to non-technical stakeholders. To address these, it's important to establish clear data collection protocols, leverage secure cloud-based analytics platforms, and maintain regular virtual meetings with team members and golf professionals. Building strong communication skills and staying up-to-date with the latest analytics tools can also help overcome these challenges and contribute to successful project outcomes.

What are the key skills and qualifications needed to thrive as a Remote Golf Data Analytics professional, and why are they important?

To excel in Remote Golf Data Analytics, you need strong analytical skills, a background in statistics or data science, and knowledge of golf performance metrics. Familiarity with data analysis tools such as Python, R, SQL, and golf-specific software is typically required, along with certifications in data analytics or sports analytics being advantageous. Excellent communication, attention to detail, and problem-solving skills help translate complex data into actionable insights for coaches and athletes. These competencies are essential to drive data-informed decision-making and improve player performance in the competitive golf industry.
What are the most commonly searched types of Golf Data Analytics jobs in Virginia? The most popular types of Golf Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Remote Golf Data Analytics jobs? Cities in Virginia with the most Remote Golf Data Analytics job openings:
Senior Data Scientist

Senior Data Scientist

SAIC

Springfield, VA • Remote

Full-time

Re-posted 28 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

69th of 210 rated it services


Job description

Job ID: 2610293

Location: Springfield, VA, US

Date Posted: 2026-03-24

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: TS/SCI with Poly

Potential for Remote Work: ORA_ON_SITE


Description

SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. 

We are seeking a highly motivated Senior Data Scientist to lead the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject matter expert (SME), responsible for the entire lifecycle of data analysis, refining business requirements and developing sophisticated analytical models to provide strategic recommendations that improve organizational efficiency and mitigate insider threats. This role demands a blend of deep technical expertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy-related initiatives. 

Work will be performed at the customer site in Springfield, VA. 

***The hiring of this position is contingent upon contract award. Anticipated award is fall of 2026.***

Responsibilities will include the following:

  • Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate insider threats. Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.
  • Strategic Business Analysis: Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives. Utilize data-driven insights to recommend significant changes and process improvements.
  • Process Improvement and Policy Operations: Lead, manage, and support business operations and policy development lifecycles. Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.
  • Risk and Performance Analytics: Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools. Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.
  • Stakeholder Engagement and Communication: Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.
  • Data Governance and Integrity: Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators.

Qualifications

Required Qualifications Include:

  • Active TS/SCI with Polygraph.
  • Education: A minimum of a Master’s Degree in Data Science, Statistics, Business, or a related field.
  • Experience: 7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor’s degree, 15+ years of experience.
  • Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.
  • Extensive experience collaborating with stakeholders at all levels to define business requirements and translate them into technical solutions.
  • Demonstrated ability to lead process improvement initiatives and contribute to the full lifecycle of policy development and business operations.
  • Mastery of data visualization and dashboard development using data sets from various sources.
  • Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.
  • Excellent verbal and written communication skills, with experience providing technical and editorial guidance.
  • Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems.
  • Experience in a role requiring significant cross-functional collaboration and the ability to manage competing priorities.
  • Proficiency in creating and editing visual content such as charts and graphs to represent data.
  • At least 2 years demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker.
  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python.
  • Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.

Desired Qualifications Include:

  • Experience in a leadership or mentorship role within a data analytics or business intelligence team.
  • Familiarity with geospatial analysis, web development principles, or specific program leadership reporting structures.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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