Lead Data Scientist, Life360
$157.5-205k
Plus equity
Location sharing app for families
Job no longer available
Location sharing app for families
201-500 employees
Job no longer available
$157.5-205k
Plus equity
201-500 employees
Company mission
To simplify safety, so families can live fully.
Role
Who you are
- 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.
- Strong problem-solving skills and the ability to tackle open-ended, challenging, data-related problems
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
- Proven track record of successfully delivering data-driven insights and solutions that have a significant impact on product and business decisions
- Python, including Pandas and Scikit-learn
- SQL and Spark
- Amazon Web Services (S3, Athena, Glue, Lambda, SageMaker, etc.)
What the job involves
- Life360 is seeking a Lead 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 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
- 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, 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
- Hypothesis Testing: Conduct rigorous experimentation and A/B testing to evaluate the impact of new features, algorithms, and improvements, guiding data-driven decision-making processes
- 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
Our take
Life360 is a platform for families that aims to bring them closer together by helping them better sync, communicate, and stay safe.
The business is particularly focused on enabling family members and friends to share their locations with one another. In addition, Life360 offers group messaging services, and also makes it possible for users to call for roadside assistance. The platform is focused on ensuring that both family members and friends can enhance their safety and connections with one another.
Customer service advisors are available on a real-time basis, while the developers of the app have also enhanced its privacy and security features recently. After an IPO in 2019, the company has received numerous awards and is recognized as a pioneer in its field, even piloting a new driving safety feature.
Freddie
Company Specialist at Welcome to the Jungle
Insights
34% employee growth in 12 months
Glassdoor (4.1)
Trustpilot (2.5)
Company
Funding (last 2 of 7 rounds)
Oct 2018
$28m
SERIES D
Dec 2017
$18.5m
LATE VC
Total funding: $117.3m
Company values
- Be a Good Person - We have a team of high integrity people you can trust that doesn’t tolerate jerks (even if they’re brilliant).
- Be Direct With Respect - We have a culture of radical candor that prevents company politics, passive aggressiveness, or being overly nice at the expense of performance and feedback.
- Members Over Metrics - We have a company that is known for an amazing customer experience and a culture of product excellence.
- High Intensity High Impact - We have a team of passionate, driven, ambitious people who work hard and are always challenging us to do better.
Company HQ
East San Mateo, San Mateo, CA
Leadership
Chris Hulls
(CEO)Joined US Air Force aged 17. Attended UC Berkeley. Founded Life360 in 2008.
Alex Haro
(Board Member)Co-founded with Chris Hulls in 2008 - CTO until 2019. Founded mymoneykarma in January 2020.
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