Remote Real-Time Sports Data Scientist & ML Engineer

Swish Analytics Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 135,000 - 165,000; Full time

Job summary

Swish Analytics Inc. is seeking a senior ML/Data Scientist to develop infrastructure for trader automation and low-latency decision systems. You will work at the intersection of data science, trading and data engineering to improve model accuracy and reaction speed.

You will design and deploy production-grade components, test models, and collaborate with product teams to expand to new sports while continuously improving performance through experimentation.

Qualifications

• Bachelor’s in data science, statistics, CS, applied math or related field (Master’s preferred).
• 4+ years building ML or statistical models for business use in sports analytics or sports betting.
• Strong knowledge of probability theory, Bayesian stats, and MCMC methods.
• Excellent analytical, problem-solving, and rapid-learning abilities.
• Proficient in Python and relational SQL.
• Experience with GitHub/CI-CD and AWS.
• Nice-to-have Kafka, Docker, Kubernetes experience.
• Able to collaborate across teams and communicate clearly.

Responsibilities

• Develop infrastructure for trader automation and system performance tracking.
• Build high-performance, low-latency products reacting to signals.
• Analyze live-streaming data to enable actionable decisions.
• Design tests to detect model changes from manual interactions.
• Develop, test, debug, and deploy production-grade components.
• Develop ML and statistical models for core algorithms and expansion to new sports.
• Create contextualized feature sets using sports domain knowledge.
• Partner with data engineering and product teams to deploy models.
• Improve model performance through rigorous experimentation.
• Assess model weaknesses and guide development priorities.
• Document work and present results to technical and non-technical partners.

Education

Bachelor’s in Data Science, Statistics, Computer Science, Applied Math, or related technical field

Master’s degree preferred

Python

SQL

Bayesian statistics

Probability theory

Machine learning

MCMC methods

Tools

Kafka

Docker

Kubernetes

GitHub / CI-CD

AWS

Job description

Swish Analytics Inc. is seeking a senior ML/Data Scientist to develop infrastructure for trader automation and low-latency decision systems. You will work at the intersection of data science, trading and data engineering to improve model accuracy and reaction speed.

You will design and deploy production-grade components, test models, and collaborate with product teams to expand to new sports while continuously improving performance through experimentation.