Associate Team Leader (Data Science)

TL;DR

Associate Team Leader (Data Science/Analytics): Leading and developing a high-performing analytics team to drive data-informed decision-making in the delivery business, with an accent on defining analytics strategy and overseeing key metrics and experimentation. Focus on embedding data-driven decision-making across the organization and continuously improving analytics processes.

Location: Hybrid work mode in Cyprus

Company

hirify.global is a global product company focusing on a ride-hailing and delivery platform.

What you will do

• Lead, mentor, and develop the analytics team, supporting their performance and professional growth.
• Define and drive the analytics strategy, roadmap, and standards aligned with business and product objectives.
• Oversee key metrics, experimentation, and analytical outputs to ensure quality and impact.
• Partner with product, engineering, and business leaders to embed data-driven decision-making.
• Establish and continuously improve analytics processes, documentation, and governance.
• Ensure data quality, integrity, and effective cross-team data collaboration.

Requirements

• 3+ years of experience in data analytics or data science.
• Strong mathematical background with an emphasis on mathematical statistics, optimization theory, time series, and causal inference.
• Proficiency in Python and data analysis libraries.
• Proficiency in SQL, including working with large amounts of data, optimizing complex queries, and creating analytical data marts.
• Experience in creating BI reports using tools like Plotly, Redash, or Tableau.

Culture & Benefits

• Stable salary and official employment.
• Health insurance.
• Flexible schedule.
• Access to professional counseling services, including psychological, financial, and legal support.
• Discount club membership.
• Diverse internal training programs and partially or fully paid additional training courses.
• All necessary work equipment provided.

Hiring process

• Application review.
• Interview process.