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Remote Nfl Player Development Jobs in California

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ... Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to ...

VALD

Business Development Manager

San Jose, CA · On-site +1

If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD ... While this position is considered "remote" in that VALD does not operate a local office in every ...

NextDeavor Inc.

Development Team Lead - AI Team

Irvine, CA · Remote

$200K - $250K/yr

Development Team Lead - AI Team Full-time Remote Exclusive confidential search -- details shared with qualified applicants. Become a Key Player as a Development Team Lead - AI Team You will lead a ...

Adecco

Sales Development Representative

Milpitas, CA · On-site +1

$25 - $30.35/hr

... Remote candidates as well) . This is an excellent opportunity to join a winning culture and get ... team player who's open to feedback and eager to continuously improve What's in this Sales ...

Field Materials

We aspire to build a team of smart, high-caliber players that inspire each other to excel yet are ... Annual personal development fund * Swanky new work laptop Employment Type: FULL_TIME

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

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Remote Nfl Player Development information

What is the difference between Remote Nfl Player Development vs Remote Football Coach?

AspectRemote Nfl Player DevelopmentRemote Football Coach
CredentialsSports certifications, NFL training experienceCoaching certifications, sports management degrees
Work EnvironmentIndividual athlete focus, virtual training sessionsTeam-based coaching, virtual or on-site sessions
Industry UsagePlayer skill enhancement, NFL athlete prepTeam strategy, game planning, player development

Remote Nfl Player Development primarily focuses on individual athlete training and skill improvement tailored for NFL prospects, often working directly with players. Remote Football Coach may involve coaching teams or groups, emphasizing strategy and game tactics. While both roles require sports knowledge and certifications, Remote Nfl Player Development is more specialized in athlete performance enhancement, whereas Remote Football Coach covers broader coaching responsibilities.

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NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Re-posted 2 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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