Senior Data Scientist (AI)

Location: Hybrid role requiring a minimum of 3 days per week in the office in Toronto or New York City, depending on residency. Candidates must be comfortable working with colleagues in UK time zones and have valid travel documents without work authorization restrictions.

Competitive salary including base pay and bonuses.

Company

hirify.global develops an AI-native coaching platform that provides personalized leadership and employee guidance for enterprise organizations using machine learning and natural language processing.

What you will do

• Analyze platform usage, feature engagement, user interactions, and key user journeys across AI-powered coaching products.
• Identify behavioral patterns, friction points, operational insights, and commercial opportunities.
• Support A/B testing, evaluate AI model performance, and assess the impact of new features on user experience and outcomes.
• Develop self-service dashboards and recurring reporting frameworks for cross-functional teams.
• Translate complex data into clear insights for technical and non-technical stakeholders.
• Define tracking requirements with Product and Engineering and improve data collection, quality, efficiency, and trust.

Requirements

• 5+ years of experience in data analytics, ideally in a B2B SaaS or AI-focused startup environment.
• Bachelor’s degree or higher in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• High proficiency in SQL, including complex queries and work with diverse database structures.
• Hands-on experience with Python and libraries such as Pandas, NumPy, Matplotlib, or Seaborn, or with R for analysis and visualization.
• Familiarity with BI tools such as Tableau, Looker, Power BI, or equivalent platforms.
• Familiarity with Excel or Google Sheets for ad hoc analysis and data exploration.
• Ability to structure complex business problems, identify trends, patterns, and outliers, and derive actionable insights.
• Clear written and verbal communication with technical and non-technical stakeholders.
• Ability to work at least 3 days per week in the Toronto or New York City office and collaborate across UK time zones.
• Valid travel documents without work authorization restrictions.

Nice to have

• Experience with product analytics platforms such as Mixpanel or Amplitude.
• Experience with AWS, GCP, or data warehousing concepts.
• Experience in a fast-paced, early-stage startup.
• Familiarity with AI/ML concepts, SaaS metrics, and enterprise customers.

Culture & Benefits

• Direct ownership of company-defining projects and exposure to executive-level strategy and decisions.
• Work with cutting-edge AI models and enterprise implementations across Fortune 500 companies and multiple industries.
• Medical, dental, and vision coverage from day one, plus generous PTO, company-wide R&R shutdowns, and paid parental leave.
• Retirement plan support for US and global employees.
• Meaningful equity in a venture-backed company, including potential top-up grants based on company growth and performance.
• Full-time commitment with no concurrent full-time employment; outside consulting, advisory, freelance, or other professional work requires advance disclosure and approval and must not interfere with the role.

Hiring process

• Employment is contingent on successful third-party verification of identity, employment history, education, and other relevant information.
• Misrepresentation during the hiring process may result in withdrawal of an offer or termination of employment.