Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Developing and optimizing production-grade recommendation, personalization, and fraud detection models for a diverse portfolio of online dating apps with an accent on behavioral modeling and large-scale data systems. Focus on building automated machine-learning pipelines, performing complex statistical analysis, and driving product strategy through quantitative insights.

Location: Hybrid (must work from the Vancouver office on Tuesdays, Wednesdays, and Thursdays)

Salary: $140,000–$160,000 per year

Company

A global leader in online dating technology, operating a portfolio of well-known platforms including Match.com, Tinder, Hinge, and PlentyOfFish.

What you will do

• Design and deploy production-grade machine learning models to enhance user experience and combat fraud.
• Build scalable data pipelines to convert large datasets into actionable business signals.
• Perform deep-dive analysis into unstructured data to extract insights and model user behavior.
• Execute time series analysis and forecasting for key operational metrics.
• Present quantitative findings and business recommendations to diverse stakeholder groups.
• Collaborate with business analysts to define key performance indicators and analytic events.

Requirements

• 5+ years of industry experience in data science, data engineering, or machine learning.
• Advanced degree (M.S. or Ph.D.) in Computer Science or a related field.
• Deep understanding of fundamental statistics, hypothesis testing, and experimental design.
• Proficiency in SQL and relational databases; familiarity with Apache Spark or HDFS.
• Strong programming skills in Python or R and Java.
• Ability to work independently on large-scale projects and across cross-functional teams.

Culture & Benefits

• Generous vacation policy, flexible days, and dedicated professional development time.
• Comprehensive health, dental, and wellness benefits from day one, including Corporate ClassPass membership.
• Financial perks including RRSP matching and employee stock purchase plan.
• Structured mentorship program and unlimited access to professional development resources via Udemy.
• Supportive work environment with parental leave top-up and fertility benefits.