Manager, Data Science

What You’ll Do

The Manager, Data Science role plays a critical role in the Analytics Team at Spotter. In addition, the candidate will have the opportunity to and is expected to assist/grow into areas of strategic knowledge that will be key to maintaining and advancing the company’s competitive advantage. He/she will be tightly integrated with the leadership team in 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
• Communicate with non-technical teams findings resulting from technical analyses
• Partner with data engineers to ensure smooth, efficient, resilient, and agile knowledge delivery pipelines
• Support and train junior team members on tools and technical tasks to guide their learning while supporting the organizational analytic needs

Who You Are

• BS in a quantitative field (Computer Science, Engineering, Statistics, Mathematics, Physics, Operation Research etc.). A Master/PhD degree is preferred.
• 4 - 6 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
• Extreme and obsessive attention to detail
• Best-in-class analytical/critical/creative thinking skills 
• Unshakable belief that discipline and process are the keys to successfully scaling an operation
• Innovative and flexible approach to collaboration and development
• Ability to thrive in entrepreneurial environments with multiple projects and constantly changing 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
• Autonomy and upward mobility
• Diverse, equitable, and inclusive culture, where your voice matters.