Lead Data Scientist, Growth

Posted 25 Days Ago
Hiring Remotely in USA
Remote
Senior level
Kids + Family • Mobile
We create tools that remove uncertainty from modern life so families can feel free, together.
The Role
The Lead Data Scientist will drive growth through segmentation models, experimentation, and collaboration with cross-functional teams to optimize user engagement and retention.
Summary Generated by Built In

About the Team

The Data Science team at Life360 is focused on increasing the value of our safety solutions by optimizing and enhancing the user experience, accelerating growth, and generating revenue through ads and other partnerships.

We work closely with product managers, growth teams, lifecycle marketing, user acquisition, analytics, finance, engineering, and other cross-functional partners. We are a lean, high-impact team that uses cutting-edge machine learning, experimentation frameworks, and advanced analytics to drive business growth and user engagement.

About the Role

We are seeking a Lead Data Scientist to drive innovation in how Life360 experiments, segments, and optimizes its user experience to maximize growth and retention. This individual will be at the forefront of developing segmentation models, data-driven growth strategies, and experimentation hypotheses.

You will work closely with growth, lifecycle marketing, and user acquisition teams to optimize the entire funnel—from registrations to subscriptions and churn reduction. Your expertise will help Life360 make smarter, faster, and more scalable decisions, directly impacting millions of users.

This role requires strong technical expertise in machine learning, statistical modeling, experimentation, and causal inference, as well as the ability to collaborate with cross-functional teams to drive measurable business outcomes.

The US-based salary range for this position is $131,500 to $214,500. 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.

Key Responsibilities

  • Experimentation & Causal Inference: Design and implement scalable A/B testing, causal inference models, and multi-armed bandits to optimize registration, trial conversion, and retention strategies.
  • Automation & Personalization: Build and scale automation tools for experimentation and segmentation, ensuring teams can efficiently test and iterate on hypotheses.
  • Growth Optimization: Develop predictive models and statistical frameworks to improve trial-to-subscription conversion, reduce churn, and enhance overall customer LTV.
  • User Segmentation & Personalization: Leverage clustering, behavioral analysis, and geospatial data to identify key user segments and tailor experiences accordingly.
  • Cross-functional Collaboration: Partner closely with growth, lifecycle marketing, and user acquisition teams to translate insights into scalable marketing and product strategies.
  • Data Infrastructure & Tooling: Work with data engineering to improve the data ecosystem, ensuring robust, scalable pipelines for experimentation and analysis.
  • Thought Leadership: Act as a mentor and thought leader within the data science team, helping to define best practices in experimentation, machine learning, and data-driven decision-making.

Desired Experience & Qualifications

  • 8+ years of experience in data science, machine learning, or analytics, with a focus on growth, experimentation, and user retention.
  • Strong experience in causal inference, A/B testing methodologies, and statistical modeling.
  • Deep understanding of machine learning models for user segmentation, personalization, and predictive analytics.
  • Proficiency in Python (Pandas, Scikit-learn, PyTorch, or TensorFlow) and SQL for data manipulation and analysis.
  • Experience with big data technologies such as Spark, AWS, Databricks.
  • Strong business acumen with the ability to translate data insights into actionable business strategies.
  • Excellent communication and leadership skills, with the ability to influence cross-functional teams.

Preferred Qualifications

  • Experience in subscription-based products, lifecycle marketing, or user acquisition.
  • Experience with geospatial data and mobile location-based services.
  • Familiarity with Bayesian modeling, uplift modeling, and reinforcement learning for experimentation.
  • Experience with workflow automation tools for experimentation and data science operations.

Why Life360?

  • Impact at Scale: Your work will directly influence the experience of millions of users worldwide.
  • Fast-Paced and High-Growth Environment: We are constantly evolving, testing, and scaling new ideas to drive growth.
  • Cross-Functional Collaboration: You’ll work closely with key stakeholders across multiple teams, ensuring data-driven decision-making at every level.
  • Remote-First Flexibility: Work from anywhere while staying connected with a high-performing, mission-driven team.

If you’re passionate about using data science to drive meaningful growth and engagement, we’d love to hear from you!

Our Benefits

  • Competitive pay and benefits
  • Medical, dental, vision, life and disability insurance plans (100% paid for employees)
  • 401(k) plan with company matching program
  • Mental Wellness Program & Employee Assistance Program (EAP) for mental well being
  • Flexible PTO, 13 company wide days off throughout the year
  • Winter and Summer Week-long Synchronized Company Shutdowns
  • Learning & Development programs
  • Equipment, tools, and reimbursement support for a productive remote environment
  • Free Life360 Platinum Membership for your preferred circle
  • Free Tile Products

Life360 Values

Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference 

  • Be a Good Person - We have a team of high integrity people you can trust. 
  • Be Direct With Respect - We communicate directly, even when it’s hard.
  • Members Before Metrics - We focus on building an exceptional experience for families. 
  • High Intensity, High Impact - We do whatever it takes to get the job done. 

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.  

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote

Top Skills

AWS
Databricks
Pandas
Python
PyTorch
Scikit-Learn
Spark
SQL
TensorFlow
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The Company
San Mateo, California
600 Employees
On-site Workplace
Year Founded: 2008

What We Do

Life360 brings you all together It’s never been easier to keep your family close and connected. Life360 is a platform for today’s busy families, bringing them closer together by helping them better sync, communicate with and protect the people they care about most.

Why Work With Us

We are a remote-first company that prepares every employee for the uncertainty of the future through career growth and growth mindset. You come here to help create the playbook and not follow the playbook. You will be able to help build the plane while flying it. Lots of ways to contribute and implement new ideas with collaborative colleagues

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