TL;DR

Staff Analytics Engineer (AI/ML): Architecting and leading the analytics foundation for %hirify_global%'s data ecosystem and data products with an accent on data visualization, advanced machine learning capabilities, and data-driven decision-making. Focus on designing, building, and maintaining foundational data models, developing scalable data products, and operationalizing machine learning solutions for recommendations, forecasting, and anomaly detection.

Location: Remote (USA)

Salary: $183,000 – $225,000 per year

Company

%hirify_global% provides the first and only client experience platform for appointment-based, self-care businesses, empowering them to give clients magical moments.

What you will do

Architect and lead complex data initiatives, transforming business needs into scalable architectures, pipelines, and analytical models.
Partner with Product Management, Product Engineering, and Analytics teams to deliver analytics platform capabilities for stakeholders.
Drive key semantic modeling design decisions balancing current reporting needs with future scalability and adaptability.
Design, train, and operationalize machine learning models for forecasting, personalization, recommendations, and anomaly detection.
Establish and enforce best practices for data governance, cataloging, lineage tracking, and quality assurance.

Requirements

Bachelor’s degree or higher in Computer Science, Information Technology, Data Science, or a related discipline.
8+ years of professional experience in the data domain, including roles such as Analytics Engineer, Data Engineer, or Data Scientist.
Proven track record of delivering customer-facing reporting, dashboards, and analytics capabilities.
Deep expertise with modern data stack technologies like dbt, Snowflake, SQL, Python, and Looker/Omni.
Strong understanding of modular and reusable data modeling best practices (e.g., star and snowflake schema design).
Comprehensive knowledge of data governance, data quality frameworks, and analytics/security best practices.

Culture & Benefits

401(k) match, plus dental, medical, vision, and life insurance.
Flexible vacation day policy.
Fully remote work with a monthly work-from-home stipend.
Family planning resources and specialized support programs.
Equity opportunities to grow with %hirify_global%.
%hirify_global% Bucks Learning and Development program to explore businesses in the market.