Principal Analytics & ML Engineer

About MatchPoint Solutions

MatchPoint Solutions is a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber Robinhood Netflix Airbnb Google and more. With a growing international presence across North America Europe Asia and South America we help organizations turn ideas into outcomes through cutting-edge technology industry best practices and deep technical expertise.

Were expanding our team and looking for driven professionals who want to build impactful solutions in a collaborative high-growth environment.

Job Title: Principal Analytics & ML Engineer

Location: San Francisco CA

Employment Type: FTE

Salary Range: $170k to $200k FTE

Experience: 10 years

Role Summary

As we scale our self-service analytics and AI capabilities were looking for a Principal Analytics & ML Engineer to develop scalable data/ML solutions and framework and intuitive tools that bring insights directly to business teams.

The Principal Analytics & ML Engineer plays a critical role in delivering trusted scalable analytics and ML solutions to stakeholders across the company particularly in the Product & Engineering areas. Working closely with architects and data engineers youll help shape data models and pipelines and build ML / AI frameworks that serve as the foundation for high-impact dashboards and predictive and prescriptive analytics. Youll design user-centric tools that empower teams to explore data gain insights and make better decisions - powered by platforms like BigQuery AI ML and Tableau.

Key Responsibilities

• Architect and manage the modern DS/ML/AI stack for scalable reproducible data science and ML models.
• Build reusable agentic frameworks/pipelines and lead the development and certification of internal agents to automate analytical workflows.
• Develop complex analytical/ML models provide so-what deep dive analyses and present findings to leadership for high-impact use cases.
• Collaborate with data engineering to design/build scalable data models metrics dashboards and analytical products for actionable insights (Product/Engineering stakeholders).
• Embed MLOps best practices by implementing monitoring for model drift version control and automated retraining pipelines.
• Mentor and lead cross-functional efforts to evangelize analytical and ML/AI best practices both within and outside the organization.
• Create frameworks/tools for functional analysts to leverage predictive insights without needing data science expertise.
• Optimize refactor validate and document business logic metrics and data products to ensure proper governance of quality accuracy and scalability.
• Act as a liaison between business and technical teams to align solutions with strategic goals.
• Lead complex cross-functional analytics projects.

Required Qualifications

• MS or PhD in Computer Science Statistics Mathematics or a related field.
• 10 years of experience in Data Science Machine Learning with a track record of building and scaling and deploying production-grade ML pipelines.
• Expert-level proficiency in Python and SQL; must be comfortable navigating massive datasets in cloud environments (e.g. BigQuery) and possess hands-on experience building both ML models and sophisticated AI agents.
• Demonstrated ability to architect and manage a modern DS/ML/AI stack from the ground up.
• Deep understanding of Product Analytics metrics and concepts ideally within a SaaS or Platform environment.
• Exceptional business acumen with the ability to translate vague product questions into concrete technical concepts and roadmap and articulate business impact to non-technical executive stakeholders.
• Advanced experience partnering with data engineers and working with dbt or similar data modeling frameworks.
• Robust experience implementing MLOps best practices to ensure model reliability and scalability.
• A history of leveling up mid-to-senior engineers and driving engineering excellence across the organization.

Equal Employment Opportunity

MatchPoint Solutions is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants and do not tolerate discrimination or harassment of any kind. Employment decisions are made without regard to race color religion age sex national origin disability genetic information protected veteran status sexual orientation gender identity or expression or any other characteristic protected by applicable federal state or local laws.

This policy applies to all aspects of employment including recruitment hiring placement promotion termination layoffs recall transfers leaves of absence compensation and training.