Staff Data Scientist – Ads, AI Native

🔥 14 hours ago

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Logo of Life360

Life360

201 - 500 employees

Founded 2008

👥 B2C

📡 Telecommunications

💰 Post-IPO Equity on 2022-11

B2C • Safety • Telecommunications

Life360 is a leading family safety app that offers a comprehensive suite of services for location and digital safety. With Life360, users can effortlessly share their location, track their phones, and manage driving safety measures, including crash detection and 24/7 roadside assistance. The app includes features for digital safety, such as identity theft protection and SOS alerts, ensuring protection and prevention for each family member. Life360's plans, which include free, Gold, and Platinum options, are designed to accommodate various needs, offering peace of mind with advanced safety and coordination tools. The app is trusted by millions of users and is highly rated on app stores for its efficiency and reliability in connecting family members and ensuring their safety.

📋 Description

• Partner with Product, Data Science, Cloud Engineering, and Data Engineering to design, develop, and deploy machine learning and optimization solutions. • Train, deploy, and scale machine learning models as high-availability microservices or batch processing workflows, working with infrastructure and backend engineers to integrate model outputs directly into our ads systems. • Establish unified logging, alerting, and monitoring solutions to track model inference performance, system latency, resource utilization, data drift, and concept drift. • Implement robust lineage tracking for data, code, and algorithmic artifacts to ensure compliance, reproducibility, and security across the entire development and operational lifecycle. • Work with data engineering to improve the data ecosystem, ensuring robust, scalable pipelines for experimentation and ML. • Mentor other Data Scientists and help define best practices and technical architectures for machine learning engineering and scalable ML service ops. • Use agentic AI tools (Claude Code or equivalent) as a core part of your daily workflow — delegating implementation tasks, running parallel workstreams, and critically reviewing AI-generated code and analysis before it ships. • Handle on-call rotation and address live production incidents.

🎯 Requirements

• Education: Advanced degree in a quantitative field—or equivalent industry experience. • Professional Experience: 8+ years of experience analyzing, implementing, and operating machine learning and/or optimization systems. • Programming Mastery: Strong proficiency in Python with deep familiarity with software engineering best practices (testing, modularization, version control, etc.). • MLOps and Datastore Tooling: Familiarity with specialized ML lifecycle and data processing tools and platforms such as MLflow, Kubeflow, SparkML, Synapse ML, SQL, Spark/PySpark, dbt, and Airflow. • Cloud Foundations: Practical experience operating within a major cloud ecosystem—e.g., AWS, GCP, Databricks—with a clear grasp of cloud networking, security, and storage tiers. • Strong communication and project leadership skills, with the ability to influence cross-functional teams. • Hands-on experience formulating and solving optimization problems (e.g., linear programming, mixed-integer programming) for advertising use cases such as budget allocation, bid optimization, or audience targeting.

🏖️ Benefits

• Competitive pay and benefits. • Medical, dental, vision, life, and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees. • 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. • Employee Assistance Program (EAP) for mental wellness. • Flexible PTO and 12 company-wide days off throughout the year. • Learning & Development programs. • Equipment, tools, and reimbursement support for a productive remote environment. • Free Life360 Platinum Membership for your preferred circle.

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