Remote Lead Data Scientist – Marketing Analytics

Blend360; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Blend360 is seeking a Lead Data Scientist to work remotely within Latin America, embedded in an AI Engineering and Science practice serving marketing and advertising clients. You will lead data science workstreams from framing problems to modeling, deployment, and measurable client impact.

This senior role combines hands-on delivery with leadership, guiding others on the team, ensuring robust, interpretable models, and collaborating with engineering and client teams to integrate solutions into

Qualifications

• Hands-on data scientist delivering production-grade ML solutions.
• Proficient in Python or R, SQL, and ML frameworks.
• Experience with marketing/advertising analytics datasets (campaigns, attribution, audiences).
• Ability to lead projects, manage stakeholders, and present to business audiences.
• Comfortable working remotely with distributed teams in Latin America.

Responsibilities

• Lead the design, development, and deployment of advanced analytics and ML solutions for marketing/advertising use cases.
• Translate ambiguous business questions into structured analytical plans, data requirements, and measurable outcomes.
• Build, validate, and productionize statistical and ML models with robustness and interpretability.
• Collaborate with engineering and client teams to integrate models into production pipelines and reporting environments.
• Communicate findings, methodology, and recommendations to technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to internal best practices and reusable modeling standards.

Skills

Python

R

SQL

ML frameworks

Statistics

Experiment design

Leadership

Remote collaboration

Tools

Cloud platforms

MLOps tooling

Job description

Blend360 is seeking a Lead Data Scientist to work remotely within Latin America, embedded in an AI Engineering and Science practice serving marketing and advertising clients. You will lead data science workstreams from framing problems to modeling, deployment, and measurable client impact.

This senior role combines hands-on delivery with leadership, guiding others on the team, ensuring robust, interpretable models, and collaborating with engineering and client teams to integrate solutions into