About Life 360

Life360 brings families closer with smart tools designed to protect and connect the people who matter most.

Known for first-to-market solutions for modern family challenges, Life360 recently reached #1 in Apple’s US App Store’s list of free social networking apps. Nearly 1 in 10 US families with kids use Life360 an average of 12 times a day, and global membership is growing exponentially, with over 28 million active users in over 140 countries as of March 31, 2020 — making Life360 the largest mobile service for families in the world.

This reach gives us the opportunity to do unprecedented good for families through our valued core offerings: advanced location sharing, private messaging, driver monitoring, help alerts, 24/7 roadside assistance, and Crash Detection with emergency response. On average we respond to 1,000 roadside assists and dispatch 200+ ambulances each month to those in need. 

Offering both free and paid memberships. In addition, the company has raised over $200 million in equity financing, and recently completed an IPO on the ASX exchange — giving our employees the liquidity of a public company with the upside of a private growth stage business.

Life360’s rapidly growing team of 150+ employees is headquartered in San Francisco, with offices in San Diego, and Las Vegas. 

About our culture and benefits

Life360 has embraced a work from home (WFH) philosophy for at least the duration of the COVID-19 crisis, along with most of our peers. During this WFH period, the organization remains connected and engaged with virtual team events, weekly all hands meetings and regular open zoom sessions with leadership.  While we believe that the work world has likely permanently changed, we have yet to make any decisions about our long-term split between WFH and being in the office

 We always offer:

• Competitive pay and benefits
• Health, dental and vision insurance plans
• 401(k) plan
• $200/month Quality of Life perk
• Flexible PTO
• Free Life360 platinum membership for your family circle
• Whatever makes you stronger makes us stronger. We buy you the things you need to improve yourself and get your job done.

All open positions are remote opportunities and when the time comes to return to our offices, we offer the following:

• A great office with plenty of light in the heart of the SOMA district in beautiful San Francisco; a 5 minute walk to CalTrain
• An amazing office location within walking distance to the beach in Encinitas
• In person team building activities, celebratory company outings and fun events

About the Job

Life360 is seeking a Senior Data Scientist who is motivated to solve real world problems, comfortable working in a fast-paced entrepreneurial environment, and able to help our company grow. You will be part of a small team that is developing new insights, product features, and scalable services using data from our mobile and cloud platform. This includes data visualization, predictive modeling, user segmentation and understanding, anomaly detection, and other advanced insights. You’ll work with all sorts of data, including inertial sensors, location, structured and free-form text, event streams, and third-party datasets (think demographics, and more). You’ll work closely with data analytics, data engineering, product owners, customer service, and leadership teams on projects from concept to completion.

Examples of Data Science at Life360

• Reduce the number of false geofence notifications using ML models to predict real trips from random location noise
• Recommend places of interest to families based on historical location and POI data
• Improve the accuracy of collision detection models using supervised ML models
• Predict premium subscriptions based on onboarding, app usage, and marketing touch points
• Optimize drive detection for battery use, latency, and accuracy
• Provide advanced insights on user driving behavior, places visited, app usage, and more
• Categorize customer feedback and app store reviews and identify trends
• Learn normal behavior patterns and identify anomalies

Desired experience

• Master's in data science, computer science, or related discipline
• Amazon Web Services (S3, Athena, Redshift, Lambda, SageMaker, QuickSight)
• Solid understanding of statistics and ML algorithms
• Digital event, transaction, clickstream data behavioral experience
• Data collection, storage, extraction, transformation, analysis, and visualization
• Programming and scripting, including Python
• SQL, relational and non-relational databases
• ability to work independently and on cross-functional teams
• GitHub, Jira, peer reviews, unit testing, and other software development best practices

Nice to have experience

• mobile location data (GPS, WiFi)
• inertial sensor data
• scikit-learn
• structured and unstructured data
• NLP
• Apache Spark
• Amplitude
• Tableau, Plotly, etc.
• CoreML, TensorFlow

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