

Integration International Inc.
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist on a 3-month remote contract, requiring 5+ years in data science, advanced Python and SQL skills, and expertise in predictive modeling. Experience in Media or Digital Advertising is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
480
-
🗓️ - Date
July 21, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#ML (Machine Learning) #Python #Statistics #SQL (Structured Query Language) #Clustering #Regression #Computer Science #Data Science #Predictive Modeling #Datasets #Scala #Deployment #Mathematics
Role description
Job Title: Senior Data Scientist
Location: Remote (USA)
Duration: Contract (Approx. 3 Months)
About the Role
• The client is seeking an experienced senior data scientist to join its data science team on a contract basis.
• This is a backfill opportunity supporting a team member on parental leave.
• The team operates in a fast-paced, high-volume environment where strong technical expertise and the ability to contribute immediately are essential.
• This role is highly focused on predictive modeling, advanced statistical analysis, and hands-on coding using Python and SQL.
• The ideal candidate has extensive experience building production-ready machine learning models and translating complex business problems into data-driven solutions.
Key Responsibilities
• Build predictive models to develop audience segmentation strategies.
• Perform advanced statistical analysis using techniques such as:
• Predictive Modeling
• Regression Analysis
• Decision Trees
• Cluster Analysis
• Random Forest
• XGBoost
• Support Vector Machines (SVM)
• Factor Analysis
• Analyze large and complex datasets to uncover actionable insights.
• Design, develop, and maintain scalable data products and modeling pipelines.
• Create automated workflows for model training, scoring, and deployment.
• Collaborate with engineering teams to productionize machine learning models.
• Translate business problems into analytical solutions and recommendations.
• Perform ad-hoc analyses and troubleshoot data issues as needed.
• Support long-term strategic initiatives through data-driven insights.
Required Qualifications
• Minimum 5 years of professional data science experience.
• Strong hands-on experience with predictive modeling and machine learning.
• Advanced proficiency in Python.
• Advanced SQL skills.
• Experience working with large-scale datasets.
• Strong knowledge of:
• Clustering
• Segmentation
• Regression techniques
• Decision Trees
• Random Forest
• XGBoost
• SVM
• Experience building production-ready analytical solutions.
• Excellent analytical and problem-solving skills.
• Ability to work independently in a fast-paced environment.
Preferred Qualifications
• Experience in Media, Entertainment, Streaming, or Digital Advertising.
• Master's or Ph.D. in Statistics, Computer Science, Data Science, Mathematics, or a related quantitative discipline.
Job Title: Senior Data Scientist
Location: Remote (USA)
Duration: Contract (Approx. 3 Months)
About the Role
• The client is seeking an experienced senior data scientist to join its data science team on a contract basis.
• This is a backfill opportunity supporting a team member on parental leave.
• The team operates in a fast-paced, high-volume environment where strong technical expertise and the ability to contribute immediately are essential.
• This role is highly focused on predictive modeling, advanced statistical analysis, and hands-on coding using Python and SQL.
• The ideal candidate has extensive experience building production-ready machine learning models and translating complex business problems into data-driven solutions.
Key Responsibilities
• Build predictive models to develop audience segmentation strategies.
• Perform advanced statistical analysis using techniques such as:
• Predictive Modeling
• Regression Analysis
• Decision Trees
• Cluster Analysis
• Random Forest
• XGBoost
• Support Vector Machines (SVM)
• Factor Analysis
• Analyze large and complex datasets to uncover actionable insights.
• Design, develop, and maintain scalable data products and modeling pipelines.
• Create automated workflows for model training, scoring, and deployment.
• Collaborate with engineering teams to productionize machine learning models.
• Translate business problems into analytical solutions and recommendations.
• Perform ad-hoc analyses and troubleshoot data issues as needed.
• Support long-term strategic initiatives through data-driven insights.
Required Qualifications
• Minimum 5 years of professional data science experience.
• Strong hands-on experience with predictive modeling and machine learning.
• Advanced proficiency in Python.
• Advanced SQL skills.
• Experience working with large-scale datasets.
• Strong knowledge of:
• Clustering
• Segmentation
• Regression techniques
• Decision Trees
• Random Forest
• XGBoost
• SVM
• Experience building production-ready analytical solutions.
• Excellent analytical and problem-solving skills.
• Ability to work independently in a fast-paced environment.
Preferred Qualifications
• Experience in Media, Entertainment, Streaming, or Digital Advertising.
• Master's or Ph.D. in Statistics, Computer Science, Data Science, Mathematics, or a related quantitative discipline.






