TL;DR

Data Scientist (Growth): Driving improvements to the user experience and self-serve revenue engine through quantitative analysis and experimentation with an accent on statistical inference and experimentation. Focus on identifying new opportunities, shaping strategy, and influencing the broader company by communicating findings and driving change.

Location: Must work from the office on Mondays and Thursdays (Anchor Days) in San Francisco, California. Certain teams or positions may require additional in-office workdays.

Salary: $200,000 - $300,000 per year (San Francisco based roles)

Company

%hirify_global% provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work.

What you will do

Apply expertise in statistical inference and experimentation to understand the impact of product changes and drive decision-making.
Explore ambiguous areas and conduct analysis to identify opportunities for the Growth org, helping shape the strategy and roadmap.
Partner closely with product, engineering, and marketing leaders, driving forward data science and analytics work.
Work with teams to determine north star and operational metrics, and build datasets and dashboards to monitor progress and make key decisions.
Influence the broader company by communicating findings and driving change in the product and business.

Requirements

Meaningful time as a data scientist partnering with product, engineering, and growth teams.
Comfortable with ambiguity and motivated by business results.
Expertise in SQL and at least one scripting language (ideally Python or R).
Know how to use statistical inference and experimentation to drive actionable recommendations.
Experience building predictive models and evaluating their effectiveness.
Comfortable transforming raw data to build custom datasets.

Nice to have

Experience at a fast-growing start-up or a B2B SaaS company.
Prior Technical Lead or Manager experience within Data Science teams.
Experience designing processes for data science team collaboration.
Track record of acting as a thought partner to product, engineering, and marketing leaders.

Culture & Benefits

In-person collaboration is essential to %hirify_global%'s culture.
Committed to providing highly competitive cash compensation, equity, and benefits.
Talented and passionate people from a variety of backgrounds.
Equal opportunity employer.