InfoSpeed Services, Inc.
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 3+ years of experience, focusing on Marketing Analytics, Data Mining, and Marketing Mix Modeling. Remote work is available, requiring proficiency in Python or R, SQL, and data visualization tools. Chinese candidates or ex-Walmart candidates preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#SQL (Structured Query Language) #Data Mining #BI (Business Intelligence) #Programming #Python #"ETL (Extract #Transform #Load)" #R #Data Extraction #Data Science #Visualization #Tableau #Regression #Microsoft Power BI
Role description
Hi All,
We're hiring!
Title: Data Scientist
Location: Remote
Years of experience: 3+ years.
•
•
• Chinese candidate or ex Walmart candidates preferred.
Top Skills: Marketing Analytics, Data Mining, and Marketing Mix Modeling (MMM).
Job Summary:
Required Skills:
Strong experience in Data Analytics and Data Mining
Hands-on expertise in Marketing Mix Modeling (MMM)
Solid understanding of Marketing Analytics concepts (attribution, ROI, CAC, LTV, etc.)
Proficiency in programming languages like Python or R
Experience with data visualization tools like Tableau, Power BI, or similar
Strong SQL skills for data extraction and manipulation
Knowledge of statistical modeling, regression techniques, and hypothesis testing
Hi All,
We're hiring!
Title: Data Scientist
Location: Remote
Years of experience: 3+ years.
•
•
• Chinese candidate or ex Walmart candidates preferred.
Top Skills: Marketing Analytics, Data Mining, and Marketing Mix Modeling (MMM).
Job Summary:
Required Skills:
Strong experience in Data Analytics and Data Mining
Hands-on expertise in Marketing Mix Modeling (MMM)
Solid understanding of Marketing Analytics concepts (attribution, ROI, CAC, LTV, etc.)
Proficiency in programming languages like Python or R
Experience with data visualization tools like Tableau, Power BI, or similar
Strong SQL skills for data extraction and manipulation
Knowledge of statistical modeling, regression techniques, and hypothesis testing
