Data Scientist (AI)

TL;DR

Data Scientist (AI/ML): Leveraging massive data sets into actionable insights to improve product decision-making with an accent on quantitative analysis and statistical modeling. Focus on building scalable data solutions, designing core metrics, and applying AI tools to accelerate product adoption.

Location: Must be based in Bellevue, Los Angeles, New York, Palo Alto, San Francisco, or Seattle. Work policy is "default together," requiring office attendance 4+ days per week.

Salary: $133,000 – $235,000 annually (depending on pay zone) + RSUs

Company

A technology company that operates hirify.globalchat, Specs Inc., and Bitmoji, focusing on visual communication and human-centric computing.

What you will do

• Apply expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful data insights.
• Drive timely decision-making to optimize how products are created, executed, and adopted.
• Collaborate with product managers, engineers, product marketers, and designers.
• Utilize AI tools and high-velocity analytical workflows to develop scalable data solutions.

Requirements

• Bachelor's Degree in statistics, mathematics, economics, computer science, engineering or a related technical field.
• 3+ years of post-Bachelor’s experience in quantitative analysis and data science (or Master's + 2 years / Ph.D.).
• Proficiency in SQL and programming languages such as Python or R.
• Experience with applied statistical techniques, including inferential methods, causal methods, and A/B testing.
• Must be based in the US and able to work from the office 4+ days per week.

Nice to have

• Advanced degree in applied mathematics, statistics, actuarial science, or economics.
• Experience in product-focused roles at social media, online advertising, or mobile technology companies.
• Experience using machine learning for building data-driven product solutions or methodological research.

Culture & Benefits

• Comprehensive medical coverage and emotional/mental health support programs.
• Paid parental leave.
• Compensation packages including equity in the form of RSUs.
• Collaborative "default together" office environment to reinforce culture and values.