Staff Data Scientist – Ads, AI Native

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Collaborate with Product, Data Science, Cloud Engineering, and Data Engineering to create, develop, and implement machine learning and optimization solutions.

• Train, deploy, and scale machine learning models as high-availability microservices or batch processing workflows, partnering with infrastructure and backend engineers to directly integrate model outputs into our advertising systems.

• Establish comprehensive logging, alerting, and monitoring solutions to assess model inference performance, system latency, resource utilization, data drift, and concept drift.

• Implement effective lineage tracking for data, code, and algorithmic artifacts to ensure compliance, reproducibility, and security throughout the entire development and operational lifecycle.

• Collaborate with data engineering to enhance the data ecosystem, ensuring robust and scalable pipelines for experimentation and machine learning.

• Guide other Data Scientists and help establish best practices and technical architectures for machine learning engineering and scalable ML service operations.

• Utilize agentic AI tools (such as Claude Code or equivalent) as an integral part of your daily workflow—delegating implementation tasks, managing parallel workstreams, and critically reviewing AI-generated code and analysis prior to deployment.

• Participate in on-call rotation and manage live production incidents.

⛳️ Requirements

• Education: Advanced degree in a quantitative discipline—or equivalent industry experience.

• Professional Experience: Over 8 years of experience in analyzing, implementing, and managing machine learning and/or optimization systems.

• Programming Mastery: Extensive proficiency in Python with a strong understanding of software engineering best practices (testing, modularization, version control, etc.).

• MLOps and Datastore Tooling: Familiarity with specialized ML lifecycle and data processing tools and platforms, including MLflow, Kubeflow, SparkML, Synapse ML, SQL, Spark/PySpark, dbt, and Airflow.

• Cloud Foundations: Practical experience working within a major cloud ecosystem—such as AWS, GCP, or Databricks—with a solid understanding of cloud networking, security, and storage tiers.

• Excellent communication and project leadership abilities, with the capacity to influence cross-functional teams.

• Hands-on experience in formulating and solving optimization problems (e.g., linear programming, mixed-integer programming) for advertising-related use cases such as budget allocation, bid optimization, or audience targeting.

🏝️ Benefits

• Competitive salary and benefits.

• Comprehensive medical, dental, vision, life, and disability insurance plans (fully covered for US employees). Supplemental medical and dental plans are available for Canadian employees.

• 401(k) plan with a company matching program in the US and an RRSP with DPSP plan for Canadian employees.

• Employee Assistance Program (EAP) to support mental wellness.

• Flexible PTO and 12 company-wide holidays throughout the year.

• Opportunities for Learning & Development.

• Provision of equipment, tools, and reimbursement support to create a productive remote work environment.

• Complimentary Life360 Platinum Membership for your preferred circle.