Sr. Data Scientist (Advertising)

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app and Tile tracking devices empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 66 million monthly active users (MAU) across more than 150 countries. 

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends that basically are family). 

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. 

About The Team

The mission of the data science team is to increase the value of our location-based safety solutions by optimizing and enhancing the user experience and creating new growth opportunities. As part of the product organization, we work closely with product managers, marketing, analytics, finance, engineering, and other cross-functional partners. This team is small and lean, always looking for and delivering the highest ROI.

About the Job

Life360 is seeking a Senior Data Scientist who is able to help our company grow by solving real-world problems in a fast-paced environment. Your expertise in data analysis, machine learning, and statistical modeling will drive audience and revenue growth, provide key insights and recommendations, enhance the user experience, increase product efficiency, and continuously evolve our safety solutions. You will provide subject matter expertise and thought leadership, build relationships with key stakeholders, identify and understand opportunities (both internal and external), and develop new insights, product features, and scalable services using data from our mobile, cloud, and third-party platforms. You’ll be a critical part of the entire project lifecycle from concept, requirements, and design to rapid prototyping, production, and hypothesis testing.

The US-based salary range for this position is $140,000 to $180,000. We take into consideration an individual's background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You’ll Do

• Data Analysis and Modeling: Utilize your expertise in data exploration, statistical analysis, optimization, anomaly detection, and machine learning to derive actionable insights from vast datasets.
• Segmentation: Create meaningful audiences based on user attributes and dimensions, including user behavior patterns from historical location data.
• Algorithm Development: Design, develop, and implement machine learning algorithms and predictive models to optimize and enhance our safety products, such as smart notifications, emergency response, and location tracking.
• Product Improvement: Collaborate with cross-functional teams, including product managers, engineers, and designers, to integrate data-driven solutions into our products, driving continuous improvement in performance and user experience.
• Data Visualization and Communication: Present complex analyses and insights in a clear and compelling manner to both technical and non-technical stakeholders, ensuring data-driven decisions are effectively communicated and understood.
• Data Integrity and Governance: Ensure data quality, accuracy, and consistency by identifying potential issues and working closely with data engineering teams to maintain high-quality data pipelines.
• Research and Innovation: Stay up-to-date with the latest advancements in data science and machine learning, bringing innovative ideas and best practices to the team and the company.

What We’re Looking For

• Experience writing job descriptions
• Bachelor’s in data science, computer science, statistics, or related field
• Proven experience (5+ years) as a Data Scientist, working on complex projects and large datasets
• Experience with geospatial data and mobile location-based services is highly desirable.
• Experience with advertising, audience segmentation, and personas.
• Strong problem-solv