Swish Analytics

👥 1-10💰 $6,909,110 Series B almost 6 years agoBig DataFantasy SportsPredictive AnalyticsMachine LearningAnalyticsSports💼 Private Company
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Swish Analytics: Revolutionizing Sports Predictions with Data Science Swish Analytics is a dynamic sports analytics company leveraging cutting-edge machine learning and proprietary algorithms to deliver precise, actionable insights for fans, bettors, and media partners. We transform complex sports data into simple, impactful metrics and forecasts, providing a competitive edge in a data-saturated market. Our platform, accessed via licensing and subscriptions, empowers users with the data they need to make informed decisions. Our tech stack is built on a robust foundation, utilizing AWS services like EKS, EC2, and RDS, orchestrated by Kubernetes. We champion a DevOps culture with CI/CD pipelines built using tools such as Terraform, Github Actions, and ArgoCD. We prioritize a collaborative engineering environment where innovation and technical excellence go hand in hand. Our team is fully remote, offering flexibility and inclusivity. We’re a small but rapidly growing company, fuelled by several successful funding rounds. Our commitment to data-driven decision-making extends to our internal processes, fostering a culture of continuous improvement and efficient problem-solving. We pride ourselves on our ability to operate in a fast-paced environment and deliver high-quality results. We’re seeking talented individuals eager to join our mission to redefine the sports analytics landscape. Swish Analytics is an equal opportunity employer committed to building a diverse and inclusive workplace. We offer competitive salaries and benefits packages to support our team members and their professional growth.

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🔥 Data Engineer
Posted about 15 hours ago

💸 120000.0 - 165500.0 USD per year

🔍 Sports Analytics

  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 5+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL); minimum of 5 years of experience
  • Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • Knowledge of sports betting
  • Must have knowledge and understanding of NBA OR NFL and the ability use your knowledge of the sport to inform your work with complex datasets
  • 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
  • Support production systems and help triage issues during live sporting events
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks
Posted about 15 hours ago
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🔥 Sports Trading Analyst
Posted 27 days ago

📍 Malta, Spain, United States

🔍 Sports Analytics, Betting

  • Bachelor’s Degree; preference for STEM degree
  • Deep understanding of sports betting and odds origination
  • Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football
  • Strong mathematical, statistical, and/or analytical skills – ability to understand and calculate + convert odds on the fly
  • Availability to work flexible schedules, including nights, weekends and/or holidays
  • 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

PythonSQLData AnalysisData MiningExcel VBAMySQLAlgorithmsData scienceCommunication SkillsAnalytical SkillsRESTful APIsAttention to detailProblem-solving skillsCritical thinkingResearchRisk ManagementData visualizationResearch skillsFinancial analysisData modelingPositive attitude

Posted 27 days ago
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🧭 Full-Time

💸 133000.0 - 180000.0 USD per year

🔍 Sports Analytics

  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
  • 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs
  • Demonstrated experience developing data science modeling systems and infrastructure at scale
  • Experience with Python and exposure to modern machine learning frameworks
  • Proficient in SQL; experience with MySQL
  • Background and interest in Rust preferred
  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback
  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues
  • Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
  • Build, test, deploy and maintain production systems.
  • Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
  • Support maintenance and optimization of cloud-native EDW and ETL solutions.
  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Use extensive experience to build, test, debug, and deploy production-grade components.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Participate in development of database structures that fit into the overall architecture of Swish systems
Posted 3 months ago
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🔥 Senior Trading Analyst
Posted 6 months ago

🧭 Full-Time

💸 65000 - 65000 USD per year

🔍 Sports Analytics

  • Minimum of 3 years of in-game play experience at an online sportsbook
  • Deep understanding of sports betting and odds origination
  • Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football
  • Strong mathematical, statistical, and/or analytical skills – ability to understand and calculate + convert odds on the fly
  • Results driven work ethic – focused on improving process, results and profitability
  • Availability to work flexible schedules, including nights, weekends and/or holidays
  • 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

Research skills

Posted 6 months ago
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