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ABOUT THE COMPANY
Ghost is a global data-driven distribution platform for the world's best brands. We partner with leading streetwear, apparel, footwear, beauty, and home goods brands to unlock alternative channels for inventory. Through transparency, data insights, and a network of vetted buyers, Ghost empowers sellers to diversify and optimize their inventory management. Backed by top VC firms (Cathay, USV, Equal, Eniac, L. Catterton), Ghost is one of LA’s fastest-growing startups.
We're seeking an experienced Director of Data who is passionate about building and scaling data capabilities in a fast-growing startup environment. You'll lead our data analytics, data engineering, and machine learning initiatives, driving data-informed decision-making and innovation across the company.
Key Responsibilities:
- Develop and execute the strategic vision for the data function, aligning it with overall company objectives.
- Oversee the design, deployment, and management of scalable data architectures, analytics platforms, and data pipelines.
- Lead the implementation and scaling of machine learning models to solve critical business challenges and unlock growth opportunities.
- Build and manage a high-performing team across analytics, data engineering, and machine learning.
- Establish best practices for data governance, quality, security, and compliance.
- Collaborate closely with product, engineering, and business teams to identify opportunities where data can enhance decision-making and optimize business processes.
- Foster a culture of experimentation and data-driven innovation throughout the organization.
Qualifications:
- 8+ years of experience in data science, analytics, data engineering, or related fields.
- Demonstrated expertise in developing and scaling data infrastructures, analytics frameworks, and machine learning systems.
- Proficiency with modern data stacks, cloud platforms (AWS), and associated technologies (e.g., Snowflake, dbt, Stitch, Airflow).
- Strong experience with SQL, Python, data modeling, ETL processes, and big data technologies.
- Deep understanding of machine learning techniques and experience deploying predictive models into production.
- Proven track record of hiring, mentoring, and leading high-performing technical teams.
- Exceptional strategic thinking, project management skills, and ability to influence cross-functional stakeholders.
Preferred Experience:
- Experience working in fast-paced startups or growth-stage companies.
- Familiarity with advanced analytics tools and methodologies.
Personal Attributes:
- Highly analytical with strong problem-solving skills.
- Proactive, self-motivated leader comfortable working with ambiguity.
- Excellent communicator who can translate complex data concepts into clear business language.
Compensation Range for this role: $215,000 - $250,000, depending on experience.
Ghost (ghst.io) Los Angeles, California, USA Office
Los Angeles, California, United States, 90048
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
