Overview
On Site
Hybrid
USD 50.00 per hour
Full Time
Skills
Programming Languages
Python
R
Machine Learning (ML)
SQL
Snow Flake Schema
Data Warehouse
Modeling
Time Series
Testing
Collaboration
Marketing
Return On Investment
Data Science
Forecasting
Optimization
Statistics
Statistical Models
Prototyping
Data Visualization
Research
Cloud Computing
Algorithms
Database
Data Management
Job Details
Date Posted: 07/01/2025
Hiring Organization: Rose International
Position Number: 484871
Industry: Telecommunications
Job Title: Data Scientist
Job Location: El Segundo, CA, USA, 90245
Work Model: Hybrid
Work Model Details: Hybrid work schedule.
Shift: Normal business hours.
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 50.00
Max Hourly Rate($): 70.00
Must Have Skills/Attributes: Data Scientist, Machine Learning, Python, R, SQL
Experience Desired: Statistical programming languages such as Python or R (5+ yrs); Experience in time series forecasting and/or machine learning SQL (5+ yrs)
Preferred Education: Bachelor's Degree
Job Description
***Only qualified Data Scientist candidates located near El Segundo, CA to be considered due to the position requiring an onsite presence. ***
Required Skills & Abilities:
Statistical programming languages such as Python or R
Experience in time series forecasting and/or machine learning SQL (for data querying and manipulation)
Preferred Skills & Abilities
Snowflake (or similar cloud data warehouse experience)
Optimization techniques and tools (to support marketing spend optimization efforts)
Key Role & Responsibilities
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.
Additional Responsibilities:
A data scientist spends long hours collecting and analyzing data to spot trends and help a company face the challenges of an evolving customer base and changing marketplace.
- Detailed summary of the roles and responsibilities using the corporate 70/30% match.
- Identifies unique opportunities to collect new data.
- Designs new processes and builds large, complex data sets.
- Strategizes new uses for data and its interaction with data design.
- Locates new data sources, analyzes statistics and implements quality procedures.
- Performs data studies of new and diverse data sources.
- Finds new uses for existing data sources.
- Conducts statistical modeling and experiment design.
- Discovers "stories" told by the data and presents them to other scientists and business managers.
- Tests and validates predictive models.
- Builds web prototypes and performs data visualization.
- Conducts scalable data research on and off the cloud.
- Implements automated processes for efficiently producing scale models.
- Designs, modifies and builds new data processes.
- Generates algorithms and creates computer models.
- Collaborates with database engineers and other scientists.
- Implements new or enhanced software designed to access and handle data more efficiently.
- Trains the data management team on new or updated procedures.
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 484871
Industry: Telecommunications
Job Title: Data Scientist
Job Location: El Segundo, CA, USA, 90245
Work Model: Hybrid
Work Model Details: Hybrid work schedule.
Shift: Normal business hours.
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 50.00
Max Hourly Rate($): 70.00
Must Have Skills/Attributes: Data Scientist, Machine Learning, Python, R, SQL
Experience Desired: Statistical programming languages such as Python or R (5+ yrs); Experience in time series forecasting and/or machine learning SQL (5+ yrs)
Preferred Education: Bachelor's Degree
Job Description
***Only qualified Data Scientist candidates located near El Segundo, CA to be considered due to the position requiring an onsite presence. ***
Required Skills & Abilities:
Statistical programming languages such as Python or R
Experience in time series forecasting and/or machine learning SQL (for data querying and manipulation)
Preferred Skills & Abilities
Snowflake (or similar cloud data warehouse experience)
Optimization techniques and tools (to support marketing spend optimization efforts)
Key Role & Responsibilities
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.
Additional Responsibilities:
A data scientist spends long hours collecting and analyzing data to spot trends and help a company face the challenges of an evolving customer base and changing marketplace.
- Detailed summary of the roles and responsibilities using the corporate 70/30% match.
- Identifies unique opportunities to collect new data.
- Designs new processes and builds large, complex data sets.
- Strategizes new uses for data and its interaction with data design.
- Locates new data sources, analyzes statistics and implements quality procedures.
- Performs data studies of new and diverse data sources.
- Finds new uses for existing data sources.
- Conducts statistical modeling and experiment design.
- Discovers "stories" told by the data and presents them to other scientists and business managers.
- Tests and validates predictive models.
- Builds web prototypes and performs data visualization.
- Conducts scalable data research on and off the cloud.
- Implements automated processes for efficiently producing scale models.
- Designs, modifies and builds new data processes.
- Generates algorithms and creates computer models.
- Collaborates with database engineers and other scientists.
- Implements new or enhanced software designed to access and handle data more efficiently.
- Trains the data management team on new or updated procedures.
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
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.