Director, Data Science

Summary

Join Spotter, a platform accelerating growth for creators and brands, as their Director, Data Science. This critical role involves strategic decision-making, collaborating with leadership, and contributing to the company's competitive advantage. You will work with massive datasets, build advanced machine learning models, optimize analytic models, and provide data-driven insights. The position requires strong analytical skills, experience with various modeling techniques, and collaboration with multiple teams. Spotter offers a competitive compensation package, including comprehensive benefits and opportunities for growth.

Requirements

• BS in a quantitative field (Computer Science, Engineering, Statistics, Mathematics, Physics, Operation Research etc.)
• 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 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

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

Preferred Qualifications

• Financial industry backgrounds
• Knowledge of the YouTube or Content Creator industry
• A Master/PhD degree
• Experience in large data processing and handling is a plus - familiarity with big data platforms and applications such as Hadoop, Pig, Hive, Spark, AWS

Benefits

• 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