Job Description
The Opportunity:
Are you ready to shape the future of global sports infrastructure? LA Tech Partners is seeking a visionary Senior Data Scientist to join our elite team dedicated to the 2026 Olympics legacy projects. In this high-impact role, you will leverage cutting-edge analytics to optimize venue operations, enhance fan engagement, and drive strategic decision-making for one of the world's most anticipated events.
Why Join Us?
As a key player in the 2026 initiative, you will work at the intersection of technology and legacy planning. You will have the opportunity to work with top-tier talent, utilize state-of-the-art data infrastructure, and see your work impact millions of fans worldwide. We offer a competitive compensation package and a culture that prioritizes innovation and excellence.
Responsibilities
- Design and implement complex data models to support 2026 Olympic logistics, security, and operational efficiency.
- Lead the end-to-end data lifecycle, from ingestion and cleaning to advanced predictive analytics.
- Collaborate with cross-functional teams to translate complex data findings into actionable business insights.
- Develop real-time dashboards and visualization tools to monitor project KPIs and operational health.
- Ensure data integrity and compliance with strict government and organizational standards for the 2026 event.
- Mentor junior data scientists and contribute to the technical vision of the analytics department.
Qualifications
- Master’s degree in Computer Science, Statistics, Data Science, or a related quantitative field.
- Minimum of 5 years of experience in data science, analytics, or a similar technical role.
- Proficiency in programming languages such as Python or R, and SQL databases.
- Strong experience with machine learning frameworks and big data technologies (e.g., Spark, Hadoop).
- Excellent communication skills, with the ability to present technical concepts to non-technical stakeholders.
- Demonstrated experience working in high-stakes environments or large-scale project management.