Remote Jobs at Swish Analytics

Logo of Swish Analytics

Swish Analytics

Gambling • Gaming • Sports

Swish Analytics is a company that specializes in machine learning for US sports betting and fantasy sports. They deliver accurate, algorithm-driven predictions and tools to help improve betting strategies across major sports leagues such as the NBA, NFL, MLB, and NHL. Swish Analytics offers tools like lineup optimizers for daily fantasy sports and is an Authorized MLB Data Distributor to U. S. sports betting operators. Their team consists of data scientists, machine-learning engineers, and developers dedicated to providing powerful analytics and innovative solutions for the sports betting and gaming industry.

11 - 50 employees

🎲 Gambling

🎮 Gaming

⚽ Sports

💰 $6.9M Series B on 2019-05

💼 Job Title
🌍 Your Location
💵 Minimum Salary
⚪️ Experience
5 Jobs
🆕 Date Added

November 19

Machine Learning Engineer developing predictive analytics systems for sports industries. Working with data science to enhance accuracy and efficiency in sports datasets and predictions.

Cloud

ETL

Kubernetes

MySQL

Python

Rust

SQL

Frontend Engineer

September 22

Job not on LinkedIn

Frontend Engineer building realtime trading analytics platform at Swish Analytics. Develop React/Next.js frontend, collaborate across Data, DevOps, Product to deliver scalable analytics features.

JavaScript

Next.js

Node.js

React

SQL

TypeScript

DevOps Engineer

July 11

Job not on LinkedIn

Swish Analytics seeks a DevOps Engineer. Role involves managing Kubernetes for predictive sports analytics workloads.

AWS

Distributed Systems

Docker

EC2

Jenkins

Kubernetes

Python

Terraform

Go

Soccer Data Scientist

May 13

Job not on LinkedIn

Swish Analytics seeks a Soccer Data Scientist to develop data-driven sports betting algorithms remotely in Europe.

🇩🇪 Germany – Remote

💵 €51.2k - €80k / year

💰 $6.9M Series B on 2019-05

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

Soccer Data Scientist

March 12

Job not on LinkedIn

Join Swish Analytics to create predictive models for sports betting. Contribute to impactful data products in a dynamic environment.

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