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Permanent Football Data Science Jobs in California

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site +1

$90K - $140K/yr

... data science, and computer science to help us develop a software framework for designing and ... This is a full-time permanent position. Responsibilities * software development * materials ...

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site

$90K - $140K/yr

... data science, and computer science to help us develop a software framework for designing and ... This is a full-time permanent position. Responsibilities * software development * materials ...

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site

$90 - $140/hr

... data science, and computer science to help us develop a software framework for designing and ... This is a full-time permanent position. Responsibilities * Software development * Materials ...

Slalom Consulting

General Information

Los Angeles, CA · On-site

$58 - $88/hr

This is a contract position with an opportunity to apply for the permanent role. What You'll Do * Design and implement scientific studies and experiments to collect and analyze data related to the ...

K2 Space

Senior Data Analyst

Los Angeles, CA

$140K - $180K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related STEM ... S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected ...

K2 Space

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related STEM ... S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected ...

K2 Space Corporation

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related STEM ... S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected ...

Menlo Ventures

Data Engineer I

Laguna Beach, CA · On-site

$85 - $115/hr

Bachelor's or Master's degree in computer science, Data Science or a related technical field ... S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C ...

New

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

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All JobsPermanent Football Data Science JobsPermanent Football Data Science Jobs in California

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:

Permanent Football Data Science jobs near you

GCP Data Architect

Machine Intelligence Technologies, LLC

San Jose, CA • On-site

$120 - $180/hr

Other

Posted 6 days ago

Job description

We are looking for a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure that drives business intelligence, advanced analytics, and machine learning initiatives. You must be comfortable working autonomously, navigating complex challenges, and driving projects to successful completion in a dynamic cloud environment.

Core Responsibilities

Design and Optimization: Design, implement, and optimize clean, well-structured, and performant analytical datasets to support high-volume reporting, business analysis, and data science model development.

Pipeline Development: Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics

Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaming analytics.

Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.

Required Skills & Experience

Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically:

BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.

Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub

Programming & Querying:

Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries

SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.

Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).

DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.

MACHINE INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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