Senior Software Engineer, Stats Technology

Position Summary

The NBA is looking for a senior software engineer with machine learning expertise to join a diverse product development team. You will be a part of the team responsible for the ingestion, storage, processing and data science involving the NBA’s basketball statistics. Our team’s primary goals are to maintain the historical statistical records of the NBA and then use that data to build fan-facing products that engage and educate the NBA’s fans across the world. If you want to join a team of hardworking developers who love cloud architectures and data science as much as they love basketball stats, this is the job for you!

 

Major Responsibilities

• Work as a part of a software development team to contribute to current product development projects involving data and basketball statistics.

• Build data science related infrastructure and models that serve statistical data and insights to the NBA’s fan-facing digital products as well as 3rd party consumers

• Provide technical leadership to drive strategy / roadmap initiatives

• Contribute to full stack cloud-based development projects that help to build the NBA's next generation of fan-facing products

• Synthesize new data points and metrics that better analyze basketball and help our fans understand the game

• Work with other partners to finalize technical plans and specifications for development projects

• Share ideas for new products powered by our data so that we can better engage our fans

 

Required Education/Professional Experience

• Bachelor's degree in Math, Computer Science, Data Science or related field

 

Required Skills/Knowledge Attributes

• Excellent verbal and written communication skills. Discuss complex topics with technical and non-technical audiences.

• Extensive software development experience in one or more of the following programming languages: Python, C++, Go, Java, Matlab.

• Ingesting, storing and retrieving data from most major database technologies.

• Experience with data science, statistical analysis, data wrangling, and/or data processing.

• Experience deploying AI/ML models at scale within a consumer-facing application is a plus.

• Ability to design and implement maintainable APIs. Previous experience in building API platforms or products for developers is a plus.

• Experience working with and surfacing data streams (e.g. Kafka topics) to consumers with high data throughput and low latency is a plus.

• Experience working with Flink or other data processing frameworks is a plus.

• Experience with API management / gateway tools like Apigee, Kong, Gravitee or equivalent with the knowledge of API mashups, analytics, developer networks and security.

• Experience with Microsoft Azure is a plus.

• Strong understanding of NBA basketball and NBA statistics is a plus.

• Display an aptitude for taking initiative to go above and beyond.

• Work on a new product under fluid conditions, seamlessly balancing tactical and strategic considerations.

• Communicate product ideas and technical requirements with both technical and business stakeholders.

• Perform quality work within deadlines with or without direct supervision