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Remote Football Data Science Jobs in Colorado (NOW HIRING)

Janus Henderson Investors

Data Engineer

Denver, CO · On-site +1

$169K/yr

Remote work permitted 2 days a week. Requirements: Bachelor's degree in Information Systems ... Computer Science, Electronics Engineering, or a related field, plus 7 years of progressively ...

KBR

Systems Engineer

Colorado Springs, CO · On-site +1

Bachelors degree in systems engineering, operations research, mathematics, data science, or any ... Colorado Springs, CO (or remote) * Travel Requirements: Minimum: up to 10% of time within the ...

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Remote Football Data Science information

What is the difference between Remote Football Data Science vs Remote Sports Data Analyst?

AspectRemote Football Data ScienceRemote Sports Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of football analyticsDegree in Sports Management, Data Analysis, or related; familiarity with sports data
Work EnvironmentRemote, often collaborative with football teams or analytics firmsRemote or on-site, working with sports organizations or media outlets
Industry UsagePrimarily in football clubs, analytics companies, or sports tech startupsMedia, broadcasting, or sports organizations analyzing various sports

Remote Football Data Science focuses specifically on football analytics, requiring specialized knowledge of football metrics and data science skills. In contrast, Remote Sports Data Analysts work across multiple sports, analyzing diverse datasets. Both roles often work remotely and require similar analytical credentials, but their industry focus and specific expertise differ.

What is a Remote Football Data Scientist?

A Remote Football Data Scientist is a professional who analyzes football (soccer or American football) data to provide insights that help teams, organizations, or media make informed decisions. They use statistical analysis, machine learning, and data visualization techniques to evaluate player performance, predict outcomes, and optimize strategies—all while working remotely. These professionals often collaborate with coaches, scouts, analysts, and other stakeholders by sharing their findings through reports and digital platforms. The role requires strong skills in programming, mathematics, and domain knowledge of football. Working remotely allows them to contribute from anywhere, often using cloud-based tools and virtual collaboration platforms.

What are the typical challenges faced by remote football data scientists, and how can they effectively collaborate with coaching and analytics teams?

Remote football data scientists often face challenges in accessing real-time data, maintaining clear communication across different time zones, and ensuring their analyses align with the needs of coaches and analysts. To overcome these hurdles, it's important to establish regular virtual meetings, use collaborative tools like shared dashboards, and maintain clear documentation of methodologies and findings. Building strong relationships with on-site team members and staying proactive in communication can significantly enhance collaboration and ensure that data-driven insights effectively support team strategies.

What are the key skills and qualifications needed to thrive as a Remote Football Data Scientist, and why are they important?

To thrive as a Remote Football Data Scientist, you need a solid background in statistics, data analysis, and programming (often in Python or R), typically supported by a relevant degree in data science, mathematics, or a related field. Familiarity with sports analytics platforms, machine learning frameworks, and database systems like SQL is commonly required, as are certifications in data analysis or analytics. Strong problem-solving abilities, effective communication, and the capacity to collaborate virtually are vital soft skills for success in this remote, data-driven environment. These skills and qualities enable accurate insights, informed decision-making, and seamless teamwork, ultimately driving competitive advantage for football organizations.
What are the most commonly searched types of Football Data Science jobs in Colorado? The most popular types of Football Data Science jobs in Colorado are:
What are popular job titles related to Remote Football Data Science jobs in Colorado? For Remote Football Data Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Football Data Science jobs in Colorado look for? The top searched job categories for Remote Football Data Science jobs in Colorado are:
What cities in Colorado are hiring for Remote Football Data Science jobs? Cities in Colorado with the most Remote Football Data Science job openings:
Remote Football Data Science jobs near you

Data Engineer

Janus Henderson Investors

Denver, CO • On-site, Remote

$169K/yr

Other

Medical, Retirement

Re-posted 4 days ago

Job description

Why work for us?

A career at Janus Henderson is more than a job, it's about investing in a brighter future together. 

Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.

Our Values are key to driving our success, and are at the heart of everything we do:

Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust

If our mission, values, and purpose align with your own, we would love to hear from you!

Janus Henderson Investors US, LLC seeks a Data Engineer in Denver, CO responsible for the design, development, testing, installation and support of complex data extract transformations, ETL, and ELT programs, using PL/SQL, Informatica Power Center 10.x and earlier models. Develop integrations between internal systems, as well as external data vendors using RDMS databases, flat files and cloud storage. Develop job schedules using Autosys to meet daily SLAs for the enterprise data warehouse and appropriate technology applications, using key design and development concepts for Data Lakes, Data Warehouses and Data Marts. Implement ETL / ELT pipelines within and outside of the data warehouse using SQL. Perform unit and integration tests and support UAT testing. *Remote work permitted 2 days a week.

Requirements: Bachelor's degree in Information Systems, Computer Science, Electronics Engineering, or a related field, plus 7 years of progressively responsible experience with PL/SQL, Informatica Power Center 10.x and earlier models. *Required skills do not need to be maintained for the full period of required experience*. '  Salary: $169,062 per year. To apply, please visit www.janushenderson.com under "careers"  (Job Req #31519)

Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. 

Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here.

Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.

Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee's job functions (as determined by Janus Henderson at its sole discretion).

You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants' past political contributions or activity may impact applicants' eligibility for this position.

You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.

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