The role involves working with large datasets, applying BI and data science techniques, utilizing SQL, R, and Python, along with strong communication skills.
Job Description
· Minimum 3 years of applied work experience in BI, Analytics, and/or Data Science. Hands on experience analyzing and mining large datasets.
· Must have work authorization to work in the United States
· Pro in SQL & Good Communication Skill
· Strong applied experience in at least two of the following: SQL R, Python. Experience with predictive modeling, multi-regression, decision tress, and cluster analysis.
· Demonstrated ability to thrive in a fast paced, high throughput environment. Previous experience in Digital Entertainment, High Tech, or Digital Marketing industries is preferred.
Additional Information
All your information will be kept confidential according to EEO guidelines.
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Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
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- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
