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Permanent Football Data Science Jobs in California

NextDeavor Inc.

Data Scientist

San Francisco, CA

$90.14 - $112.68/hr

... or permanent full-time employment Become a Key Player as a Data Scientist You will apply ... Develop and deploy data science models to drive scalable, programmatic business solutions

Sonsoft Inc

Data Science/Analytics

San Francisco, CA

Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ... Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen , Green Card Holder ...

Sonsoft Inc

Data Science Analytics

San Francisco, CA

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... Note:- * This is a Full-Time & Permanent job opportunity for you. * Only US Citizen , Green Card ...

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Permanent Football Data Science information

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 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 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

Data Scientist Manager - Fulltime/Permanent Job

MM International

Sunnyvale, CA • On-site

Full-time

Re-posted 10 days ago

Job description

Data Scientist Manager

Positions can sit in Sunnyvale, CA or Bentonville, AR, relo’s are welcome and there is a relocation package only for Bentonville relocate’s

Job Type: Fulltime/Permanent Job

Manager:
Position Summary...

What you'll do...

Manage a team of data science and machine learning engineers to develop and deploy traditional data science and Gen AI applications supporting the Walmart finance department. Build models that solves specific business outcome by training with massive amount of Walmart data utilizing open-source or in-house tools.

  • Grow a team of domain experts of NLP, LLM , Timeseries Forecasting and recommendation systems in respective business domains in retail ; e-commerce.
  • Drive execution of developing models and systems
  • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
  • Remain up to date on ongoing research and development activities in the team
  • Work with data scientists to design, architect, and build AI/ML/DL model and model systems.
  • Work with machine learning engineers to deploy, operate, and optimize scalable solutions

About the Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
What you'll bring:

  • Experience in NLP, LLM, Timeseries, Traditional ML techniques
  • Experience in data science and machine learningfor retail ; e-commerce
  • Experience in managing a mid-size internal team of data scientists and MLEs
  • Experience leading and completing cross-functional projects
  • Strong organizational skills including prioritizing, scheduling, time management, and meeting deadlines
  • Strong influencing and interpersonal skills
  • Detail and results-oriented with sense of urgency