Description

In this role, you will dive into data to shape product decisions, forecast marketplace dynamics, and enhance matching efficiency. Your work will involve designing experiments and deploying models that have a real impact on how people find work.

Requirements

• •4+ years of applied Data Science experience
• •Curious, proactive, impact-driven mindset
• •Enjoyment of fast-paced environments
• •Solid ML expertise in scoring, ranking, and optimization techniques
• •Experience building forecasting models using time-series and probabilistic approaches
• •Strong experimentation skills, including A/B testing
• •Proficiency in SQL and Python
• •Clear communication and strong product thinking
• •Experience with dbt or data modeling
• •Understanding of data pipeline design

Tasks

• •Shape product decisions using data insights
• •Proactively explore data for product opportunities
• •Translate complex findings into actionable insights
• •Model supply and demand patterns for forecasting
• •Support planning and operational decisions with robust methods
• •Build and refine ranking and allocation models
• •Improve matching efficiency for higher fill rates
• •Design and run end-to-end experiments
• •Interpret experimental results clearly
• •Turn analyses and models into production
• •Collaborate with engineering on monitoring and rollouts

Tools & Technologies

Benefits