Harnham
Senior Data Scientist
Marketing Ed-Tech (Remote)
Remote (Must be U.S. based)
6 month contract @ $80 p / h
Company Overview Our client, a growing mid‑sized marketing ed‑tech company, is looking for a Senior Data Scientist to build advanced ML models for lead scoring, customer journey optimization, and Marketing Mix Modeling (MMM).
Key Responsibilities :
Develop and optimize ML models for lead scoring, customer journey mapping, and multi‑touch attribution analysis
Design MMM frameworks to measure marketing channel effectiveness and optimize budget allocation
Build end‑to‑end scalable data pipelines using Azure Databricks for large‑scale processing and Dagster for workflow orchestration
Deploy production models via Kubernetes containerization and manage MLOps lifecycle
Integrate LLMs and GenAI tools for content personalization, automated insights, and enhanced customer segmentation
Conduct A / B testing and statistical analysis to validate model performance and business impact
Create executive dashboards and collaborate with marketing, product, and business teams on data‑driven strategy
Requirements :
Experience : 7+ years in data science with proven experience in marketing analytics, customer analytics, or related domains
Expert Python (pandas, scikit‑learn, TensorFlow / PyTorch) and advanced SQL proficiency
Hands‑on experience with Azure Databricks for distributed computing and collaborative analytics
Proficiency with Dagster or similar workflow orchestration tools for data pipeline management
Experience deploying ML models using Kubernetes and containerized applications
Familiarity with LLMs, GenAI tools, and their practical applications in marketing
All applicants must be authorized to work in the United States to qualify. Our client is unable to accommodate sponsorship at this time.
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Marketing Ed-Tech (Remote)
Remote (Must be U.S. based)
6 month contract @ $80 p / h
Company Overview Our client, a growing mid‑sized marketing ed‑tech company, is looking for a Senior Data Scientist to build advanced ML models for lead scoring, customer journey optimization, and Marketing Mix Modeling (MMM).
Key Responsibilities :
Develop and optimize ML models for lead scoring, customer journey mapping, and multi‑touch attribution analysis
Design MMM frameworks to measure marketing channel effectiveness and optimize budget allocation
Build end‑to‑end scalable data pipelines using Azure Databricks for large‑scale processing and Dagster for workflow orchestration
Deploy production models via Kubernetes containerization and manage MLOps lifecycle
Integrate LLMs and GenAI tools for content personalization, automated insights, and enhanced customer segmentation
Conduct A / B testing and statistical analysis to validate model performance and business impact
Create executive dashboards and collaborate with marketing, product, and business teams on data‑driven strategy
Requirements :
Experience : 7+ years in data science with proven experience in marketing analytics, customer analytics, or related domains
Expert Python (pandas, scikit‑learn, TensorFlow / PyTorch) and advanced SQL proficiency
Hands‑on experience with Azure Databricks for distributed computing and collaborative analytics
Proficiency with Dagster or similar workflow orchestration tools for data pipeline management
Experience deploying ML models using Kubernetes and containerized applications
Familiarity with LLMs, GenAI tools, and their practical applications in marketing
All applicants must be authorized to work in the United States to qualify. Our client is unable to accommodate sponsorship at this time.
#J-18808-Ljbffr