Project Employee, Senior Full Stack AI Data Scientist - National Basketball Association (NBA) : Job Details

Project Employee, Senior Full Stack AI Data Scientist

Join to apply for the Project Employee, Senior Full Stack AI Data Scientist role at National Basketball Association (NBA)

Project Employee, Senior Full Stack AI Data Scientist

Join to apply for the Project Employee, Senior Full Stack AI Data Scientist role at National Basketball Association (NBA)

WORK OPTION: The NBA currently provides eligible employees the option of working remotely one day per week.Position SummaryWe are seeking a highly skilled and enthusiastic Senior Full Stack AI Data Scientist to join our team on a project basis. In this role, you will design and develop AI-powered tools, multi-agent systems, and predictive models that drive business insights and user engagement strategies. You'll work with technologies like Python, Streamlit, Snowflake, PyTorch/TensorFlow, and LLM APIs, and contribute to the development of an MCP (Multi-Agent Control Platform) server to support scalable AI applications. This is a unique opportunity to apply cutting-edge AI methods in a collaborative, fast-paced environment where your work will directly influence strategic decisions.This is a temporary position with an expected duration not to exceed (10) months.Major Responsibilities

• Architect and develop AI tools and systems for business decision use, with a focus on usability and scalability.
• Build predictive models using Python, PyTorch or TensorFlow to support user engagement strategies.
• Design and implement multi-agent systems for intelligent decision-making and automation across multiple data domains
• Develop and maintain an MCP server to orchestrate agent communication and task execution.
• Analyze real-time and historical data (aggregate and user-level) to uncover insights and predict behaviors.
• Create interactive dashboards and applications using Streamlit.
• Collaborate with cross-functional teams to define data requirements and deliver actionable insights.
• Perform feature engineering, model validation, and continuous optimization based on new data and feedback.
• Communicate findings clearly to both technical and non-technical stakeholders.
• Contribute to best practices in model deployment, performance monitoring, and version control.

Required Education/Professional Experience

• Bachelor's Degree

Required Skills/Knowledge Attributes

• Proficiency in Python for AI/ML development, data processing, and automation.
• Strong experience with SQL and data platforms like Snowflake.
• Expertise in Streamlit or similar frameworks for building interactive data applications.
• Familiarity with HTML/CSS for front-end integration and dashboard styling.
• Experience with LLM APIs and integrating them into data workflows or applications.
• Solid understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Experience building multi-agent systems and/or distributed AI architectures.
• Strong Git skills and experience with collaborative workflows (e.g., GitHub).
• Experience with Docker for containerization and deployment of AI applications.
• Experience with frameworks like FastAPI for developing apps

Preferred Skills/Knowledge Attributes

• Experience with real-time data analysis and visualization.
• Familiarity with Snowflake, Kubernetes, or other cloud-native tools.
• Knowledge of NLP, computer vision, or other advanced AI domains.
• Strong communication and collaboration skills, with the ability to explain complex concepts clearly.

Salary Range: $8,307.70 - $9,692.31 biweeklyJob Posting Title: ProjectThe NBA does not accept unsolicited resumes from search firms or any other third parties. Any unsolicited resume sent to the NBA will be considered NBA property, and the NBA will not pay a fee should it hire the subject of any unsolicited resume.The NBA considers applicants for all positions on the basis of merit, qualifications, and business needs, and without regard to race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, alienage or citizenship status, ancestry, marital status, genetic predisposition or carrier status, veteran status, familial status, status as a victim of domestic violence, or any other status or characteristic protected by applicable federal, state, or local law.The NBA is committed to providing a safe and healthy workplace. To safeguard our employees and their families, our visitors, and the broader community from COVID-19, and in consideration of recommendations from health authorities and the NBA's own advisors, any individual working onsite in our New York and New Jersey offices must be fully vaccinated against COVID-19. The NBA will discuss accommodations for individuals who cannot be vaccinated due to a medical reason or sincerely held religious belief, practice, or observance.About The NBAThe National Basketball Association (NBA) is a global sports and media organization with the mission to inspire and connect people everywhere through the power of basketball. Built around five professional sports leagues: the NBA, WNBA, NBA G League, NBA 2K League and Basketball Africa League, the NBA has established a major international presence with games and programming available in 214 countries and territories in 60 languages, and merchandise for sale in more than 200 countries and territories on all seven continents. NBA rosters at the start of the 2023-24 season featured a record 125 international players from 40 countries and territories. NBA Digital's assets include NBA TV, NBA.com, the NBA App and NBA League Pass. The NBA has created one of the largest social media communities in the world, with more than 2.3 billion likes and followers globally across all leagues, team and player platforms. NBA Cares, the NBA's global social responsibility platform, partners with renowned community-based organizations around the world to address important social issues in the areas of education, inclusion, youth and family development, and health and wellness.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionManagement and Manufacturing

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