Hourly Remote Machine Learning Engineer Jobs in Miami, FL

Position Summary

The Head of Data owns the organization's overarching data strategy, foundational platforms, governance frameworks, and the analytics-to-AI value chain. Reporting directly to the Chief Executive Officer (CEO), this executive leader transforms the corporate data estate into a primary driver of decision advantage and bottom-line value. You will run a multi-disciplinary department across data engineering, business intelligence, data governance, and artificial intelligence/machine learning (AI/ML).

Core Responsibilities

Strategic Leadership & Culture

• Data Strategy Alignment: Establish the enterprise-wide data roadmap to explicitly match corporate strategic growth goals and deliver clear return on investment (ROI).
• Data Literacy & Advocacy: Foster a mature, data-driven operational culture across all business functions by championing data literacy and product-thinking.
• AI & Innovation: Lead data-driven innovation, building the production pipeline for advanced machine learning, predictive modeling, and generative AI initiatives.

Platform Architecture & Data Product Delivery

• Data Lifecycles: Oversee end-to-end data lifecycle infrastructure, ensuring efficient ingestion, transformation, storage, and retrieval across modern cloud systems.
• Business Analytics: Build high-utility analytics, dashboards, and reporting frameworks that senior business leaders rely on for commercial KPIs.
• Product Infrastructure: Coordinate with engineering and product squads to seamlessly scale backend data warehouses and semantic access layers.

Governance, Privacy & Trust

• Compliance & Lineage: Enforce rigorous enterprise data policies regarding lineage, security, privacy regulations (e.g., GDPR, CCPA), and automated data quality validation.
• Access Control: Partner with the corporate security team to manage access control frameworks and secure data sharing rules for stakeholders.

People Management & Vendor Oversight

• Team Scaling: Recruit, lead, and mentor a high-performing group of data engineers, data scientists, and business intelligence analysts.
• Vendor Ecosystems: Negotiate and optimize contracts with critical third-party tooling, cloud providers, and specialized data migration vendors.

Skills & Requirements

Required Qualifications

• Experience: 10+ years of progressive data management experience, with at least 4 years managing cross-functional, highly technical teams.
• Strategic Acumen: Proven track record of linking data initiatives to commercial outcomes, generating measurable revenue increases or operational cost reductions.
• Tech Stack Familiarity: Comprehensive technical fluency in cloud platforms (AWS, GCP, Snowflake, or Databricks), ETL/ELT pipelines, SQL, Python, and BI layers (Tableau, PowerBI).
• Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a highly quantitative field.
• Communication: Elite written and verbal communication skills, with an explicit ability to distill complex analytical concepts for non-technical executives.

Preferred Qualifications

• Experience guiding a company through rapid infrastructure changes, cloud migrations, or digital transformations.
• Advanced understanding of AI ethics, risk management frameworks, and model deployment pipelines.

WORKING HOURS: REMOTE-FIRST & ASYNCHRONOUS

• Async-First: We prioritize output over "hours in a seat."
• EST Overlap: You must be available for a few hours of overlap with US-based EST working hours each day to facilitate team meetings and real-time support.

HOW TO APPLY

We are looking for a Head of Data, not a task-checker. To be considered, please submit your resume and a case study or detailed summary of a data production system, platform architecture, or AI/ML pipeline you built from the ground up in a startup or high-growth setting. Highlight the tools used, the bottlenecks solved, and the measurable increase in team efficiency or business ROI.

Note: We value disciplined execution and rapid experimentation. Please emphasize your experience with high-volume, short-form performance creative.

What's atypical about the company:

Incubator Labs is a performance-focused growth organization that builds and scales brands

through rapid experimentation, creative iteration, and disciplined execution. We operate as an

internal growth engine, not an agency.

Application Process:

Interested candidates should apply directly for consideration. Upon submitting your application, our hiring team will review your credentials and will notify you if you are selected to participate in the interview process. We appreciate your interest in IncubatorLab and kindly ask that you refrain from inquiries to our teams via LinkedIn.

No third party or agency submissions will be accepted

IncubatorLab is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We consider all qualified applicants for employment regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. If you have a disability or special need that requires accommodation, please feel free to contact us.