Lead Data Scientist

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

Role overview

Lead Data Scientist role operating remotely within Latin America, embedded in an AI Engineering and Science practice that serves marketing and advertising clients. The position involves leading data science workstreams end-to-end, from problem framing through modeling, deployment, and measurable client impact. It sits at the lead analyst level and is suited to an experienced practitioner who can both deliver hands-on analytical work and guide others on the team.

Responsibilities

• Lead the design, development, and deployment of advanced analytics and machine learning solutions for marketing and advertising use cases.
• Translate ambiguous business questions into structured analytical approaches, data requirements, and measurable outcomes.
• Build, validate, and productionize statistical and machine learning models, ensuring robustness, interpretability, and performance.
• Collaborate with engineering and client-facing 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, code quality, and reusable modeling standards.

Requirements

• Significant experience as a hands-on data scientist delivering production-grade machine learning solutions.
• Strong proficiency in Python or R, SQL, and common ML frameworks, with solid grounding in statistics and experimental design.
• Experience working with marketing, advertising, or customer analytics datasets such as campaign performance, attribution, or audience segmentation.
• Demonstrated ability to lead projects, manage stakeholders, and present technical work to business audiences.
• Comfortable operating remotely and collaborating across distributed teams in Latin America.

Nice to have

• Familiarity with cloud data platforms and MLOps tooling for model deployment and monitoring.
• Exposure to generative AI, NLP, or recommendation systems used in marketing contexts.