Data Scientist

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.