Swish Analytics

San Francisco, California, USA
23 Total Employees
Year Founded: 2014

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Jobs at Swish Analytics
4 Days Ago
San Francisco, CA, USA
Big Data • Sports
The Legal Counsel will negotiate and draft commercial agreements for sports data acquisition, oddsmaking services, and licensing. They will ensure compliance with sports betting licensing, assist with strategic legal policies, manage external legal advisors, and provide general legal services to the leadership team.
7 Days Ago
San Francisco, CA, USA
Big Data • Sports
The Data Engineer will support the Trading Analytics team by ensuring accurate data ingestion and reporting, troubleshooting client streams, and developing reports and dashboards. They will integrate complex datasets and develop APIs for predictive analytics while maintaining data integrity and quality.
7 Days Ago
San Francisco, CA, USA
Big Data • Sports
The Technical Project Manager will collaborate with cross-functional teams to define and execute data science and engineering projects, manage project scopes, timelines, and deliverables, communicate progress to stakeholders, and oversee resource allocation to foster continuous improvement and alignment with business goals.
7 Days Ago
San Francisco, CA, USA
Big Data • Sports
The NHL Data Scientist will develop and improve machine learning and statistical models for sports betting products, using domain knowledge in sports and data analytics. Responsibilities include creating feature sets, testing models, collaborating with teams for deployment, analyzing performance, and adhering to software best practices.
7 Days Ago
San Francisco, CA, USA
Big Data • Sports
As an NFL Data Scientist at Swish Analytics, you will develop and improve machine learning and statistical models for sports betting products, collaborate with teams, and contribute to model deployment while enhancing model performance through rigorous experimentation and analysis.
11 Days Ago
San Francisco, CA, USA
Big Data • Sports
As a Data Scientist on the Trading Analytics team, you'll develop and improve machine learning and statistical models for sports betting products. Duties include automating trading suggestions, enhancing model performance, and collaborating with teams to deploy models while adhering to best practices in software engineering.
14 Days Ago
San Francisco, CA, USA
Big Data • Sports
As a UX Designer at Swish Analytics, you'll collaborate with Product Managers and engineers to create user interfaces for a trading platform. Your role includes developing high-fidelity prototypes, managing design projects, and ensuring consistency and quality across products, all while thriving in a fast-paced environment.
15 Days Ago
San Francisco, CA, USA
Big Data • Sports
The DevOps Engineer at Swish Analytics will develop and maintain Kubernetes clusters for ML workloads, work with Data Science and Engineering teams to optimize deployments, enforce software management best practices, and monitor system reliability. They will also respond to incidents and provide on-call support as needed.
16 Days Ago
San Francisco, CA, USA
Big Data • Sports
The Staff Accountant will support various accounting functions, assist in journal entry preparation, generate accounts receivable invoices, apply cash, record payroll, prepare reconciliations, and help with consolidated financial statements and accounting policy documentation.
22 Days Ago
San Francisco, CA, USA
Big Data • Sports
As a Soccer Data Scientist at Swish Analytics, you will ideate and improve machine learning and statistical models, develop feature sets leveraging soccer domain knowledge, and contribute to model deployment while striving to enhance model performance. You'll analyze results and communicate findings clearly to diverse stakeholders.
22 Days Ago
San Francisco, CA, USA
Big Data • Sports
As a Tennis Data Scientist, you will develop and enhance machine learning models for sports betting products, analyze and assess model performance using rigorous experimentation, and collaborate with engineering and product teams to deploy new models, all while adhering to software engineering best practices.
22 Days Ago
San Francisco, CA, USA
Big Data • Sports
As a Staff Software Engineer, you will lead the development of core backend applications, perform code reviews, optimize applications, and design new services. You'll work with distributed data, collaborate on architectural diagrams, and ensure high-performance APIs while adhering to coding standards.
22 Days Ago
San Francisco, CA, USA
Big Data • Sports
The Product Engineer at Swish Analytics will enhance and scale existing data products, develop effective machine learning and statistical solutions, improve Rust and Python codebases, and establish KPIs for product offerings. They will work closely with teams to address complex challenges and ensure high-quality data processes for predictive sports analytics.
22 Days Ago
San Francisco, CA, USA
Big Data • Sports
As a Senior Trading Analyst, you will manage client risk, oversee depth chart accuracy, research news sources for impact on betting markets, and analyze betting trends to convert data into trading actions.
22 Days Ago
San Francisco, CA, USA
Big Data • Sports
The NFL Data Scientist will ideate and develop machine learning and statistical models for sports betting products. This role involves creating feature sets, collaborating with teams on model deployment, conducting experiments to improve model performance, analyzing outputs for weaknesses, documenting work, and presenting findings to various stakeholders.
25 Days Ago
San Francisco, CA, USA
Big Data • Sports
The Product Engineer (MLOps) will design, implement, optimize, and evaluate systems for generating sports datasets and predictions. They will build and maintain production systems, work with DevOps and Data Engineering teams, and ensure best software practices. The role requires extensive experience in developing machine learning models and data processing techniques.