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Data Scientist - Remote

Posted 8 weeks ago
Data Analysis
Full Time
CA, USA
$75,000 - $90,000/year
Data Science
Statistical Analysis
R
Python
Machine Learning
Marketing Analytics
Database Marketing
AI
Neural Networks
SparkML

Overview

RAPP Los Angeles is looking for a Data Scientist to join our award-winning Marketing Sciences team.

In Short

  • Provide support for actionable insights and algorithms in marketing.
  • Analyze large datasets to extract insights.
  • Develop statistical models for marketing strategies.
  • Collaborate with multidisciplinary teams.
  • Support iteration and enhancement of existing models.
  • Create new models with innovative methods.
  • Standardize and review code for efficiency.
  • Communicate insights to non-technical audiences.

Requirements

  • Master’s degree in relevant fields.
  • 1-2 years of experience in statistical analysis.
  • Knowledge of database marketing principles.
  • Proficient in R or Python.
  • Familiarity with AI/Neural Networks.
  • Experience with SparkML is a plus.
  • Strong communication skills.

Benefits

  • Health, vision, and dental insurance.
  • 401(k) and stock options.
  • Flexible spending accounts.
  • Paid vacation, sick, and personal days.
  • Paid parental leave and disability benefits.

RAPP

RAPP

RAPP is a global communications and marketing agency that is building a unified brand experience for Mercedes-Benz, under the Omnicom umbrella since January 2022. The agency combines top talents from various Omnicom agencies, including RAPP, to support the world's most valuable luxury car manufacturer in leading the future of electric mobility and creating the most desirable cars. As part of the Precision Marketing Group of Omnicom, RAPP focuses on creating value from individual brand experiences, leveraging expertise in media, data analytics, CRM, branding, performance, creative solutions, web personalization, content automation, public relations, events, and social media. The company promotes a collaborative culture and values diversity, believing it enhances their ability to create value for brands.

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