Swish Analytics

Data Scientist

• Support production systems and help triage issues during live sporting events
• Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
• Build new sports betting data products and predictions offerings
• Integrate large and complex real-time datasets into new consumer and enterprise products
• Develop production-level predictive analytics into enterprise-grade APIs
• Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Sport Data Scientist

Full-stack Engineer

• Build, test, debug, and deploy production-grade components and services powering our real-time sports betting and analytics products
• Own the deployment and operation of your own services on Kubernetes within a larger platform — this is service ownership within a shared ecosystem, not cluster administration or a DevOps function
• Proactively improve and extend our Rust codebase
• Trace and resolve the root causes of data inaccuracies across pipeline dependencies and our Python codebase
• Set up and maintain alerting, monitoring, and observability for the services you own
• Build and maintain the shared frameworks and services that let our models scale in production, and accelerate their adoption across teams
• Apply large-scale data processing techniques to build scalable, innovative sports betting products
• Examine and improve the integration and scaling of our real-time operations, simulations, and experiments
• Develop solutions for open-ended problems where information is incomplete and no precedent exists

Product Engineer

• 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.

• 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.

Soccer Data Scientist

• 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 specific domain knowledge in soccer.
• 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.

Project Manager

• Cross-functional program leadership
• The operating system for delivery
• Delivery coordination and predictability
• Delivery maturity across the org
• Team leadership

Director of Project Management

People Operations

• Lead the onboarding and offboarding processes, ensuring a seamless and positive experience for all employees.
• Partner with the Talent Acquisition team to support the hiring process.
• Analyze HR metrics and prepare reports to support management decision-making regarding staffing, turnover, and cost analysis.
• Awareness and support mediating and resolving disputes, disagreements, and conflicts between employees, or between employees and management.
• Support fair, consistent, and legally compliant application of the company's disciplinary procedures, up to and including termination.
• Manage and execute the end-to-end payroll process for all US and international employees (including contractors) using our current payroll systems.
• Ensure accurate and timely processing of salaries, deductions, taxes, and statutory contributions, adhering to local, state, federal, and international regulations.
• Maintain meticulous employee records, ensuring data integrity and compliance across all HR systems.
• Serve as the primary internal resource for HR compliance, staying current on all relevant US labor laws (federal and state) and international employment legislation.

Senior People Operations Specialist

Analyst

• Manage client risk, ensuring the highest margins on Swish products through +EV decisions
• Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings
• Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets
• Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions

Trading Analyst

Technical Project Manager

• Cross-functional program leadership - Direct ownership of the programs that span Trading, Engineering, Data Science, and Data Engineering. You are the single accountable owner for delivery across team boundaries on these programs, including dependencies, sequencing, risk, and the tradeoff decisions when priorities collide.
• The operating system for delivery - Own and evolve the frameworks that let the company plan and execute coherently — intake, prioritization, change management, project lifecycle, definition of done, and release cadence.
• Delivery coordination and predictability - Establish the cadence, instrumentation, and reporting that make work visible from company strategy down to individual execution.
• Delivery maturity across the org - Teams across Swish operate at different levels of delivery discipline. You will set the bar, point to what already works well internally, and partner with department heads to raise the standard everywhere — through influence and demonstrated value rather than mandate.
• Team leadership - Lead, develop, and grow the PMO.

• Design, build, and optimize low latency, highly available core API services
• Build backend applications while working cross-functionally with teams across the organization
• Assist in developing a platform and SDK for internal teams to build their services
• Work with the Swish infrastructure team to optimize the existing API service architecture and strategy
• Participate in code reviews and knowledge sharing with teams and team members
• Influence the technical direction of distributed services at Swish

Sport Data Scientist

Product Engineer

Data Scientist

Soccer Data Scientist

Soccer Data Scientist

Director of Project Management

Senior People Operations Specialist

Trading Analyst

Technical Project Manager

Trading Analyst

Senior Software Engineer