Data Scientist, Commercial Analytics in WASHINGTON DC-BALTIMORE AREA

Swoon is hiring for our Streaming Media Client for a fully remote opportunity based in EST hours.

This is a 12-month contract with Benefits - Health, Dental & Vision (50% of premium covered for contractor).

Job Summary

We are seeking a person that combines strong programming, data management and statistical skills. 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.

What you’ll do:

• 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.

If interested in more details, please apply!