TL;DR

Senior Data Scientist (Data Science ML): Develop and improve data-driven product strategies and experimentation systems at %hirify_global% with an accent on causal analysis, A/B testing, and data storytelling. Focus on designing metrics, mentoring, and enabling cross-functional collaboration to drive user and revenue growth.

Location: US remote-friendly or any office location - SF, LA, CHI, NY

Salary: $190,800 - $267,100 USD

Company

%hirify_global% is a large internet community platform hosting over 100,000 active communities and 116 million daily active users, focused on authentic conversations and information sharing.

What you will do

Drive product strategy through observational causal analysis, experiment meta-analysis, and clear communication of insights to stakeholders including C-suite.
Enhance experimentation practices by guiding design, execution, and deep dive analyses of A/B tests.
Create ETLs, dashboards, and self-serve tools to empower data scientists and partners.
Design and measure team-level KPIs to support goal setting and demonstrate impact.
Engage regularly with stakeholders to ensure alignment on business goals and outcomes.
Mentor junior data scientists and business partners to improve data literacy and decision making.

Requirements

Must be based in the United States or work remotely within US locations.
Ph.D., M.S., or Bachelors in quantitative fields with relevant industry experience (3+ years for PhD, 5+ years for M.S./Bachelors).
Expertise in SQL, Python or R, and strong understanding of online experimentation and causal inference.
Strong technical communication and ability to discuss complex topics with diverse audiences.
Experience in consumer-facing data science roles and ability to work in fast-paced environments.

Culture & Benefits

Comprehensive health benefits and 401k matching.
Flexible vacation and paid parental leave.
Home office workspace support and professional development funds.
Family planning support and paid volunteer time off.