Why This Role Stands Out
This remote Data Scientist role at Sun Technologies, Inc. offers a competitive hourly rate and the opportunity to contribute to impactful projects within a reputable tech company. You'll thrive here if you possess strong analytical skills and a passion for leveraging data to drive innovation, with ample room for professional growth. Apply today to explore this exciting opportunity!
Quick Overview
Job Description
Job Title: Data Scientist
Duration: Expected to be 12 months of a contract with possible of extension.
Location: Remote
Pay Range: $60 - $65 hr.., the pay rate may differ depending on your skills, education, experience, and other qualifications.
Featured Benefits:
- Medical Insurance in compliance with the ACA
- 401(k)
- Sick leave in compliance with applicable state, federal, and local laws
# of Positions: 01
Job Description:
Top 5 Skills Required:
- Statistical programming languages such as Python or R
- Experience in time series forecasting and/or machine learning
- SQL (for data querying and manipulation)
- A strong drive to explore data deeply, question assumptions, and seek continuous improvement in forecasting models and methodologies.
- The ability to work effectively across teams, clearly articulate complex technical concepts, and integrate diverse perspectives to enhance marketing optimization efforts.
Preferred:
- Snowflake (or similar cloud data warehouse experience)
- Optimization techniques and tools (to support marketing spend optimization efforts)
Key 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.
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