Associate Director, Commercial Analytics (100% Remote - EST Hours)

Founded in 2008, our client is a leading American broadcasting corporation headquartered in New York City and provides satellite radio and online radio services operating in the United States.

We are seeking a Commercial Analytics Associate Director on a contract basis to help support our Customer's business needs. This role is 100% remote in EST hours, hybrid if in the D.C. or NY location.

This position plays a key role in supporting in-market control tests and building machine learning models to increase subscriptions, revenue and improve app engagement and customer experience. In this role, you will develop models designed to predict churn/LTV, enhance segmentation and customized messaging, and measure effectiveness of advertising spend. You will also support test design and evaluation of marketing initiatives across multiple channels spanning the customer lifecycle. A keen interest in using analytics and data science to optimize digital media and conversion is critical.

Responsibilities
• Support testing marketing initiatives to maximize media spend performance, drive app engagement and increase subscriber retention across the customer lifecycle applying proper statistical rigor. Responsibilities include experimental design (sample sizing, timing), quality checking implementation and test measurement and evaluation.
• Deliver presentations describing experimental results and recommendations to business partners. Prepare dashboards providing daily monitoring of test results.
• Build machine learning models for predicting key outcomes used to inform marketing tactics across digital acquisition and user journey orchestration
• Work closely with engineering to productionize and monitor model performance
• Represent Commercial Analytics capabilities and data-driven insights within cross-functional teams to help achieve business objectives
• Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering and test analysis
• Create custom Python libraries available for team use to automate key methods. Examples include statistical methods for timing/sizing experimental design, verifying test populations are unbiased and matched-market test design.
• Types of projects you’ll be working on:
• Test onboarding/engagement/retention campaign attributes across email, push and in-app messaging. Attributes include segmentation, offer, messaging, creative, frequency and cadence.
• Develop machine learning models to predict retention at various stages in the user lifecycle. Incorporate predictions into test results to optimize marketing tactics by segment and present feature importance to business stakeholders.
• Measure incrementality of paid media campaigns using matched market testing
• Develop forecasting tools for business metrics using machine learning

Qualifications
• Master’s degree in Data Science, Statistics, Engineering, Mathematics, or Computer Science
• 5 or more years of experience as a Data Scientist
• Excellent programming skills in Python
• Understanding or experience working within an enterprise data warehouse environment (including SQL, procedural SQL, and ETL)
• Capability to build, tune and explain machine learning models for supervised and unsupervised learning. Methods include, but are not limited to, regression, clustering and ensemble methods.
• Understanding of statistical concepts, lift analysis and A/B testing fundamentals.
• Databricks experience
• Ability to produce data visualizations for explaining technical concepts
• Experience with cloud technologies
• Familiarity with business intelligence dashboards
• Excellent time management skills, with the ability to prioritize, multi-task and work under shifting deadlines in a fast-paced environment
• Project management experience preferred
• Experience working within an advertising agency or creative environment preferred. Preference for media and entertainment experience or a marketing agency
• Familiar with marketing communications strategy and processes, including online media, application development and web site development
• Strong interpersonal capabilities and excellent verbal and written communication skills
• Well-organized, detail-oriented, energetic, independent and responsive to feedback

We offer a competitive salary range for this position. Most candidates who join our team are hired at the median of this range, ensuring fair and equitable compensation based on experience and qualifications.

Benefits (Available upon completion of waiting period for eligible engagements)

Health Benefits: Medical, Dental, Vision, Life (including spouse & child), 401k, STD/LTD, and AD&D.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.