Data Scientist

We are seeking a data scientist to help the Digital Marketing team understand public consumer feedback at scale, excavate insights to optimize our marketing and product decisions, and monitor external brand relevancy. This person must have a deep understanding of statistics, machine learning techniques, NLP and familiarity with digital marketing data. They will identify actionable insights and have the ability to successfully evangelize, educate, and enable within a very large organization.

• Remote (Must be within 100 miles of Culver City, CA)
• Pay Comments: W2, weekly pay, benefits, 401k w/ match
• Background screening required
• W2 (no C2C)

Description

• Build and maintain data driven optimization models, experiments, forecasting algorithms and machine learning models to better campaign performance, identifying trends and optimize strategy. *
• Provide causal analysis to evaluate impact from various marketing initiatives, including both organic and paid ad placements.
• Design and continuously improve models that measure upper funnel marketing impact, integrating multiple metrics and a diverse source of data in both structured and unstructured format.
• Collaborate with cross-functional teams and propose solutions to address business problems. * Assess business needs to translate model outputs into tangible and actionable findings and reports for both marketing and product.

Minimum Qualifications

• Bachelor's degree and 3 years of experience in Data Science field, or a Master's degree in Data Science, Computer Science, or a related field with 2 years of experience.
• Strong foundation in probability and statistics.
• Proficiency in SQL and Python or R to work with large data sets.
• Knowledge around supervised and unsupervised machine learning algorithms (regression, classification, clustering, decision trees, neural networks, etc).
• Understands digital marketing data and KPIs - Social, SEO, Paid Media, etc.
• Ability to both solve problems with an analytical mind set and explain findings and methodologies to technical and creative teams.
• Looking for someone with 3-5 years of experience manipulating data sets and using statistical /ML models to extract insights and visualize them for stakeholders.

Preferred Qualifications

• Ability to read and analyze large amount of content in Simplified Chinese.
• Experience in applying causal inference for marketing, and familiar with marketing mix modeling or multi-touch attribution models.
• Knowledge of model evaluation frameworks including metric definition, sampling strategy, and human-in-the-loop processes.
• Proficiency in code collaboration/version control systems (git/github/gitlab).

**About Aquent Talent:**

Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands. Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. More information on our awesome benefits! Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

#LI-CA1