Python Developer (Football data, machine learning)

Job Description

Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting.

Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favorite sports teams and competitions.

How do they use it?

• Media outlets add a little magic to their coverage with our stats and graphics packages.
• Sportsbooks can offer better predictions and more accurate odds.
• The world's top coaches are known to use our data to make critical team decisions.
• Sports commentators can engage with fans on a deeper level, using our stories and insights.
  
  

Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine.

We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience!

Our teams of technical experts specialize in harnessing live sporting data, using advanced cloud technologies, Java, JavaScript and Python. It is these tech teams that enable us to extract patterns through AI and Machine Learning and deliver our insights via APIs. In short, they turn complex data into magical experiences with cutting-edge technology.

Responsibilities

• Design and build cloud-native streaming and batch feature/data pipelines (including infrastructure, CI/CD and implementation) AWS, Terraform, Jenkins, Python.
• Work together with AI/DS team to productionise new ML/Data-powered insights.
• Refactor and optimise for production PoCs produced by AI/DS team.
• Participate in data engineering (batch and streaming feature engineering) Python, SQL.
• Design and implement libraries, which can be used by ML Productionisation and AI/DS teams for feature pipeline development Python.
• Design and implement performant, scalable and cost-effective cloud infrastructure.
• Use logging and monitoring tools to ensure end-to-end observability (ELK, Prometheus, Grafana).
• Engage in technical design discussions within the Engineering teams and other senior engineers in the organization.
• Collaborate within the ML Platform and AI/DS (predictive modelling) teams to design, build, and deploy platform services that are resilient, scalable, and low latency with tools and services to support 24/7 operations.
• Collaborate with the Platform Engineering (Infrastructure) and DevOps teams on best practices, tools and technologies required for AI/ML pipelines.
• Identify, assess, and implement 3rd party technologies that may complement Stats Perform capabilities, and accelerate advancement of critical features; maintain strong collaborative relationships with 3rd party technology providers.
• This role does not involve direct Data Science, Machine Learning, or ML Platform work (ML models are designed and trained by a dedicated Predictive Modelling team) Role primarily focuses on Solution Architecture, Data/Feature engineering, Infrastructure, CI/CD, Ops for ML-based products.
  
  

Required Qualifications

• Experience with Python.
• Experience with event-driven, messaging, distributed systems.
• Experience with SQL and NoSQL databases.
• 2+ years of relevant industry experience with cloud infrastructure: AWS, GCP, Azure. (solution architecture, deployment, monitoring).
  
  

Nice To Have

• Knowledge of Data Science and Machine Learning.
• Experience with solution architecture and system design.
• Experience deploying AWS Cloud Infrastructure (Terraform, CloudFormation, CDK).
• Experience building CI/CD pipelines in cloud-based environments (Jenkins, CircleCI, TeamCity, GitHub, GitLab, Bitbucket).- Experience with Docker (or other containers).
• Experience with Python Data Libraries (Pandas/SciPy/NumPy).
• Experience with data engineering.
• Experience with feature engineering.
• Experience with logging and monitoring frameworks (ELK, Prometheus, Grafana).
• Experience with serving data via AWS services, e.g. AppSync (GraphQL), MSK (Kafka), API Gateway, Kinesis.
• Experience with AWS microservices capabilities, e.g. Lambda, SNS, SQS.
• Experience with AWS data services, e.g. Dynamo, S3, Redshift and Redshift Spectrum.
  
  

Desired Qualifications

• Bachelor’s degree in Computer Science or similar.
• Verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams, and both internal and external stakeholders.
• An open-minded, structured thinker, a team player and good teammate.
• Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritize an approach for maximum impact.
  
  

Why work at Stats Perform?

We love sports, but we love diverse thinking more!

We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution.

We take care of our colleagues

We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules.

We pull together to build a better workplace and world for all.

We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups.

Diversity, Equity, and Inclusion at Stats Perform

By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values.

With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.