1

Permanent Football Data Science Jobs in California

... science, performance analysis, or analytics roles within professional football or elite sports. * Hands-on background with player monitoring technologies. * Familiarity with football specific data ...

Company Description One of our direct client, a BigData & Data Science major is looking for a Lead Data Scientist to join their team of Data Scientists. This is a permanent position with client.

Company Description One of our direct client, a BigData & Data Science major is looking for a Lead Data Scientist to join their team of Data Scientists. This is a permanent position with client.

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Knowledge of data science and machine learning concepts * A strong interest in sports and sports ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Knowledge of data science and machine learning concepts * A strong interest in sports and sports ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Data Scientist

San Leandro, CA · On-site

$145K - $190K/yr

This is not a "fit a curve to a dashboard" data science role. Core Responsibilities * Build a ... S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C ...

Data Scientist

San Leandro, CA · On-site

$180 - $240/hr

This is not a "fit a curve to a dashboard" data science role. Core Responsibilities * Build a ... S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C ...

Data & AI Engineer

Sacramento, CA · On-site

$117K - $141K/yr

... permanent employment. Purpose This position is responsible for designing, developing, and ... The Data & AI Engineer partners with data scientists, analysts, and AI engineers to ensure data is ...

Data & AI Engineer

Sacramento, CA · On-site

$117K - $141K/yr

... permanent employment. Purpose This position is responsible for designing, developing, and ... The Data & AI Engineer partners with data scientists, analysts, and AI engineers to ensure data is ...

Head of Data & Analytics

San Jose, CA · On-site

$126 - $154/hr

... in data science, performance analysis, or analytics roles within professional football or elite sports. * Hands‑on background with player monitoring technologies. * Familiarity with football ...

Bachelor's degree in computer science, data science, engineering, math, physics, or scientific ... S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or ...

Showing results 21-40

Permanent Football Data Science information

What are permanent football data science jobs?

Permanent football data science jobs refer to full-time, ongoing positions within football clubs, organizations, or related companies, focused on analyzing and interpreting data to support decision-making in the sport. Professionals in these roles use statistical methods, machine learning, and data visualization to evaluate player performance, develop game strategies, and optimize team operations. Unlike contract or temporary roles, permanent positions typically offer greater job security, benefits, and opportunities for long-term career growth within the organization.

What are the key skills and qualifications needed to thrive as a permanent football data scientist?

To thrive as a Permanent Football Data Scientist, you need strong analytical skills, proficiency in statistics, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of sports analytics platforms are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex data into actionable insights for coaches and analysts. These skills are crucial for driving data-informed decisions that can enhance team performance and strategy in a competitive sports environment.

What are some common challenges faced by football data scientists in a permanent role, and how can they be addressed?

Football data scientists in permanent positions often encounter challenges such as integrating diverse data sources (e.g., match stats, tracking data, and biometric data), ensuring data quality, and translating analytical insights into actionable strategies for coaches and players. To overcome these challenges, strong communication skills are essential for collaborating with technical staff and decision-makers. Additionally, staying updated with the latest analytics tools and methodologies helps in producing relevant and impactful analyses that support the team's objectives.

What is the difference between Permanent Football Data Science vs Football Data Analyst?

AspectPermanent Football Data ScienceFootball Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Sports Management, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentResearch-focused, often in sports analytics companies or club data departmentsOperational, supporting coaching staff and management within clubs or agencies
Employer & Industry UsageSports analytics firms, football clubs, media outletsFootball clubs, sports agencies, media outlets

Permanent Football Data Science involves advanced data modeling and predictive analytics, often requiring programming skills and a strong statistical background. Football Data Analysts focus on interpreting data to inform coaching decisions and player performance, typically with less emphasis on complex modeling. Both roles are vital in football analytics but differ in technical depth and scope.

What are the most commonly searched types of Football Data Science jobs in California?

The most popular types of Football Data Science jobs in California are:

What cities in California are hiring for Permanent Football Data Science jobs?

Cities in California with the most Permanent Football Data Science job openings:

$49K/yr

Full-time, Part-time

Re-posted yesterday


Key responsibilities

  • Apply scientific methods and techniques to analyze systems, processes, and operational problems in data science.

  • Perform data analysis, interpret data, and prepare reports, documentation, and correspondence to communicate findings.

  • Analyze, interpret, and apply data science rules and procedures in various situations and recommend solutions to senior analysts.


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER