Senior Applied Scientist (AI)

TL;DR

Senior Applied Scientist (AI): Architecting the experimentation platform and developing statistical methodologies to power business-critical decisions across the MCM product with an accent on improving the validity, power, and generalizability of MCM experiments. Focus on identifying improvements to ML models, validating hypotheses with advanced statistical methods and rigorous A/B testing.

Location: Menlo Park, California, United States; San Francisco, California, United States

Salary: $184,000 - $230,000 USD

Company

hirify.global builds AI advertising solutions, democratizing access to advanced AI for businesses to grow and compete in the digital economy.

What you will do

• Develop and implement advanced statistical methodologies to improve the validity, power, and generalizability of MCM experiments.
• Partner with Product and Engineering to drive the development of an automated experimentation platform.
• Guide and assist partner teams (ML, Product, and Sales) through the experimentation lifecycle.
• Act as the internal champion for experimentation best practices, educating peers on statistical pitfalls.
• Use Python/SQL and work at scale with large datasets to conduct analysis and identify improvements to our ML models.
• Validate and quantify the efficiency and performance gain from hypotheses with advanced statistical methods and rigorous A/B testing.

Requirements

• Ph.D. in Statistics, Economics, Mathematics, Operations Research, or another quantitative field with exposure to advanced modeling and statistical techniques.
• Proficient in Python and SQL, with experience working efficiently with large datasets.
• Deep understanding of experimental design, causal inference and advanced statistical methods.
• Excellent verbal and written communication skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
• Ability to build positive relationships within the DS team and with stakeholders.
• Willingness to both teach others and learn new techniques.

Nice to have

• 2+ years of experience in Data Science, with a focus on experimentation and causal inference in a high-growth tech environment (AdTech preferred).
• Prior experience developing experimentation methodology, building experimentation platforms, and designing large-scale online experiments.
• Demonstrated leadership and self-direction, able to seek out new business questions and effectively scope projects to improve our ML model performance.

Culture & Benefits

• Innovative benefits that empower employees to take care of themselves and their families.
• Lead with Humility: Everyone’s voice is respected, valued, and heard.
• Uncapped Growth Mindset: See all situations as opportunities to learn, grow, and improve.
• Create Real Value: Pursue impactful opportunities with rigor and integrity.
• Go Further Together: One team working towards one mission and vision.