Lead analytics and AI initiatives: define strategy, translate business needs into AI/use cases, oversee dashboards and advanced analytics, run ML/LLM pilots, operationalize models, ensure responsible AI governance, and manage and mentor analytics teams while driving stakeholder alignment.
We are seeking a highly skilled and hands-on Data Analytics & AI Consultant to join our team. This role is focused on the design, development, and delivery of advanced analytics and AI-driven solutions that enable data-informed business decision-making. The ideal candidate will possess strong technical expertise in AWS, Python, SQL, Machine Learning, and AI technologies, with a proven ability to build and deploy scalable analytics products. In addition to technical delivery, the Data Analytics & AI Consultant also will serve as a trusted advisor to key business stakeholders. This individual will partner closely with cross-functional teams to translate complex business challenges into practical, data-driven solutions, ensuring that analytics initiatives align with strategic objectives and deliver tangible value.
- Design, build, and deploy machine learning models and predictive analytics solutions.
- Develop AI-powered business intelligence tools, including conversational analytics and chatbot applications.
- Create decision intelligence systems that enhance operational efficiency and support strategic decision-making.
- Leverage AWS cloud technologies to develop scalable, secure, and production-ready analytics solutions.
- Analyze complex business problems and translate them into actionable analytics, AI, and data science initiatives.
- Partner with business leaders and stakeholders to understand requirements and recommend data-driven strategies.
- Communicate technical concepts, methodologies, and recommendations to diverse audiences.
- Drive the end-to-end delivery of analytics solutions, from problem definition through implementation and adoption.
- Strong hands-on experience with AWS, Python, SQL, and Machine Learning.
- Experience building and deploying ML, AI, and advanced analytics solutions in production environments.
- Knowledge of business intelligence, predictive analytics, and decision intelligence frameworks.
- Ability to work directly with business stakeholders and translate requirements into technical solutions.
- Strong problem-solving, communication, and consulting skills.
- Proven track record of delivering high-impact analytics solutions that drive business outcomes.
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What you need to know about the Los Angeles Tech Scene
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.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- 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
