Overview
On Site
USD 50.00 - 68.00 per hour
Full Time
Skills
Data Engineering
Analytics
Programming Languages
Python
R
Machine Learning (ML)
SQL
Snow Flake Schema
Cloud Computing
Data Warehouse
Modeling
Time Series
Testing
Collaboration
Marketing
Return On Investment
Data Science
Forecasting
Optimization
Training
Job Details
Data Scientist
Work Location - El Segundo, CA 90245
Positions Requested - 1
Hours per Day - 8
Hours per Week - 40
Total Hours - 1-year contract initially
or Permanent Resident
Project - MMM Data Engineering, Analytics & Forecasting
Required:
Pay Range: $50 - $68
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
Work Location - El Segundo, CA 90245
Positions Requested - 1
Hours per Day - 8
Hours per Week - 40
Total Hours - 1-year contract initially
or Permanent Resident
Project - MMM Data Engineering, Analytics & Forecasting
Required:
- Statistical programming languages such as Python or R
- Experience in time series forecasting and/or machine learning
- SQL (for data querying and manipulation)
- Snowflake (or similar cloud data warehouse experience)
- Optimization techniques and tools (to support marketing spend optimization efforts)
- Lead forecasting efforts leveraging Marketing Mix Modeling (MMM) and advanced time series techniques to drive accurate, actionable insights.
- Identify and implement enhancements to improve the accuracy and efficiency of MMM-based forecasts.
- Develop and automate rigorous testing and validation frameworks to ensure forecast reliability and robustness.
- Collaborate cross-functionally to build and refine marketing spend optimization models that maximize ROI.
- Proactively explore innovative data science approaches to continuously elevate forecasting and optimization capabilities.
Pay Range: $50 - $68
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.