NFL Data Scientist San Francisco, CA - Remote
Company: Swish Analytics
Location: San Francisco
Posted on: October 29, 2024
Job 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
DescriptionSwish Analytics is looking for an NFL Data Scientist 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.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 football or sports betting.
- Expertise in Probability Theory, Machine Learning, Inferential
Statistics, Bayesian Statistics, Markov Chain Monte Carlo
methods.
- 4+ years of demonstrated experience developing and delivering
effective machine learning and/or statistical models to serve
business needs.
- Experience with relational SQL & Python.
- Experience with source control tools such as GitHub and related
CI/CD processes.
- Experience working in AWS environments.
- 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.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.
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Keywords: Swish Analytics, Petaluma , NFL Data Scientist San Francisco, CA - Remote, Other , San Francisco, California
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