TL;DR

Senior Data Scientist (Data Science ML): Partner with product, engineering, and design teams to develop AI-enhanced core product features and improve user experience with an accent on user behavior analysis, experimentation, and business impact. Focus on designing experiments, building segmentation strategies, and creating executive dashboards to drive product optimization and revenue growth.

Location: Remote within US Zones 2 and 3 only

Salary: $168,300–$227,700 USD (Zone 2), $149,600–$202,400 USD (Zone 3) annually

Company

%hirify_global% is a global software company pioneering a Virtual First work model, combining distributed autonomy with human connection to shape the future of work.

What you will do

Perform deep analytical dives to identify problems, design and execute experiments, and derive insights on user engagement and behavior.
Create personalized segmentation strategies using propensity models for targeted offers and experiences.
Build automated reporting and executive dashboards to track acquisition, monetization, and engagement trends.
Advocate for data-driven solutions and collaborate cross-functionally to move ideas forward.
Monitor and analyze multivariate experiments to optimize product and revenue flows.
Communicate complex concepts effectively to business stakeholders and prioritize key initiatives.

Requirements

Bachelor's or higher degree in quantitative disciplines such as Statistics, Applied Mathematics, Economics, Computer Science, or Engineering.
6+ years of experience in analytics driving business decisions, including business/product/marketing analytics or strategy consulting.
Proven ability to work independently and engage proactively with stakeholders.
Strong experience with SQL and statistical analysis, including experimentation design and regression techniques.
Experience running multivariate experiments to optimize products or revenue.
Excellent verbal and written communication skills with leadership and influence capabilities.

Nice to have

Product analytics experience in a SaaS company.
Master's or higher degree in a quantitative discipline.
Proficiency in programming/scripting and knowledge of Python statistical packages.

Culture & Benefits

Comprehensive medical, dental, and vision coverage.
401(k) plan with company match and immediate vesting.
Flexible PTO, paid holidays, volunteer time off, and parental benefits.
Income protection and business travel insurance.
Perks allowance for wellness, learning, and more.
Access to global co-working spaces and quarterly cell phone/internet allowance.
Mental health, disability, and neurodivergence support benefits.