Staff Decision Scientist, Advanced Analytics

The role

We're hiring a Staff Decision Scientist to lead Advanced Analytics: the methods, models, and standards the rest of the data team builds on. You won't be embedded in a single Operating Group (OG). You'll work across all of them, pushing how we run experiments and establish causality, and owning the MAU forecast and growth model that leadership uses to plan the business. You'll report into the Data & Analytics leadership team.

Most of your impact will come through other people. You'll partner closely with Decision Scientists, Data Scientists, Analytics Engineers, and Data Engineers, and you'll use AI to make advanced methods repeatable, so rigor doesn't depend on whether you personally touched the project. This is not a production ML role (we have a dedicated Data Science / MLE team for that). Your primary tools are statistical inference, forecasting, clear thinking, and the judgment to know which method fits the question.

In your first year, success looks like an experimentation and causal inference standard the team has adopted, and an MAU forecast with tracked accuracy that leadership uses for planning.

What you will do

Own the MAU forecast and growth model. Build and maintain the model (Python, SQL) that breaks MAU into registration, retention, and reactivation, and that leadership relies on for planning and target-setting. Make the assumptions explicit, track forecast accuracy, and explain the misses.
Raise the bar on experimentation. Set the standard for experiment design and analysis: power, metric selection, variance reduction, sequential testing, heterogeneous effects, and interference in a product where users share Circles with family and friends. Be the reviewer the team seeks out for high-stakes tests.
Push our causal inference toolkit forward. When a clean experiment isn't possible, bring the right quasi-experimental method (difference-in-differences, synthetic controls, regression discontinuity, instrumental variables, and others) and turn one-off analyses into reusable approaches others can apply.
Set the methodological standard for the data team. Define and document best practices, review analyses across OGs, and be the go-to person for hard methods questions.
Collaborate across disciplines. Work with OG-embedded Decision Scientists on their toughest problems, with Data Scientists on modeling approaches, and with Analytics Engineers and Data Engineers to turn methods into durable data models, metrics, and tooling.
Scale advanced analytics through AI. Build agent workflows (Claude Code or equivalent), templates, and tools that let the team run forecasts, experiment readouts, and causal analyses faster and more consistently. Treat every repeated analysis as a candidate for automation.
Teach and mentor. Level up the craft across the org through mentorship, analysis and code reviews, internal talks, and written guides. Raise the ceiling for senior ICs and the floor for everyone else.
Make complex methods land with leadership. Translate forecasts and causal findings into clear recommendations with a point of view. A rigorous result nobody acts on is a failed result.

Staff Decision Scientist, Advanced Analytics

The role

Staff Decision Scientist, Advanced Analytics

The role

The team

What you will do

What you need

Nice to have

We are AI Native

Core Expectations

Our Commitment to Belonging

Pay and benefits

About Life360

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