Director, Data Science

Overview: 

Spotter is a platform for Creators, providing services and software designed to accelerate growth for the world’s best Creators and brands. Creators working with Spotter can access the capital, knowledge, community, and personalized AI software products they need to succeed. With unique knowledge of how Creators work, the resources they need to grow, and the challenges they face, Spotter is empowering top YouTube Creators to succeed.

Spotter has already deployed over $940 million to YouTube Creators to reinvest in themselves and accelerate their growth, with plans to reach $1 billion in investment by 2024. With a premium catalog that spans over 725,000 videos, Spotter generates more than 88 billion monthly watch-time minutes, delivering a unique scaled media solution to Advertisers and Ad Agencies that is transparent, efficient, and 100% brand safe. For more information about Spotter, please visit https://spotter.com.

What You’ll Do

The Director, Data Science role plays a critical role in strategic decisioning at Spotter. This role will have the opportunity to assist and grow into areas of strategic knowledge that will be key to maintaining and advancing the company’s competitive advantage. This individual will be closely aligned with the highest level of leadership team, actively engaging in both daily operational execution and long-term strategic knowledge development.

Responsibilities

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to help YouTube creators to grow from “creators” to “enterprises” with world class underwriting models and brand efficient media solutions to optimize media yield.
• Maintain, optimize and innovate analytic models driving all insights and reporting
• Provide visibility, unearth insights, and develop early indicators into the performance of licensed content 
• Conduct ad-hoc analysis to further enhance our understanding of content performance 
• Work with product team to revolutionize the product and services we offer with a data-driven approach
• Collaborate with the engineering team to test, implement and deploy modeling solutions to production systems.
• Partner with the sales team to optimize lead generation to help grow asset deployment targets
• Partner with data engineers to ensure smooth, efficient, resilient, and agile knowledge delivery pipelines
• Experience guiding strategic direction of workgroups, setting policy, while also having the skills to be an individual contributor
• Support and train junior team members on tools and technical tasks to guide their learning while supporting the organizational analytic needs

Who You Are

Qualifications/Skills

• BS in a quantitative field (Computer Science, Engineering, Statistics, Mathematics, Physics, Operation Research etc.). A Master/PhD degree is preferred.
• 6 - 10 years of work experience in analytical/quantitative roles
• Must have hands-on experience in building models using classic statistical modeling techniques such as Logistic regression or advanced machine learning techniques such as GBM, NLP, CNN, LSTM or other deep learning techniques. 
• Experience in large data processing and handling is a plus - familiarity with big data platforms and applications such as Hadoop, Pig, Hive, Spark, AWS.
• Experience in data querying languages such as SQL, scripting/analytical languages such as Python/R.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting.
• Demonstrated ability to frame business problems into mathematical programming problems, apply thought leadership and tools from other industries or academics to engineer a solution and deliver business insights.

Note: Due to the proliferation of similarly capable business products today, skills in equivalent products are acceptable

Preferred 

• Financial industry backgrounds
• Knowledge of the YouTube or Content Creator industry

Personal Attributes

• Ability to understand and analyze data and communicate findings to stakeholders
• High level of comfort with quantitative concepts
• Strong attention to detail
• Best-in-class analytical/critical/creative thinking skills 
• Innovative and flexible approach to collaboration and development
• Ability to thrive in entrepreneurial environments with multiple projects and evolving priorities.
• Work independently/remotely with little oversight
• Forge relationships at all levels of the company

Why Spotter

• Medical insurance covered up to 100%
• Dental & vision insurance
• 401(k) matching
• Stock options
• Discretionary PTO
• Autonomy and upward mobility
• Diverse, equitable, and inclusive culture, where your voice matters

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in Culver City. Actual salaries will vary and may be above or below the range based on various factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current pay range is: $180K-$210K salary per year. The range listed is just one component of Spotter’s total compensation package for employees. Other rewards may include an annual discretionary bonus and equity.

Spotter is an equal opportunity employer. Spotter does not discriminate in employment on the basis of race, religion, creed, color, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic characteristics or information, marital status, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, use of or request for family or medical leave, political affiliation, or any other status protected under applicable federal, state or local laws. 

Equal access to programs, services and employment is available to all persons. Those applicants requiring reasonable accommodations as part of the application and/or interview process should notify a representative of the Human Resources Department.