Data Scientist • Senior

Who you are

You have 5+ years of experience in data science, with a strong background in statistical analysis and predictive modeling. Your expertise in SQL and programming languages like Python or R allows you to manipulate and analyze large datasets effectively. You are skilled in developing algorithms and models that drive business decisions and improve operational efficiency.

You possess excellent communication skills, enabling you to collaborate cross-functionally with Data Scientists, Data Analysts, Product Managers, and Finance partners. You thrive in environments where you can identify gaps in operational processes and create strategies to address them. Your analytical mindset helps you navigate ambiguity and deliver high-quality outputs across multiple projects.

What you'll do

As a Senior Data Scientist at Lyft, you will lead key initiatives that enhance the quality of decision-making within the Central Market Management team. You will leverage data and analytical frameworks to identify opportunities for improving operational efficiency and define measurement strategies that bring consistency to business decisions. Your role will involve implementing scientific methodologies that balance opportunity and uncertainty, ensuring that the decisions made are financially efficient and scalable.

You will work closely with other Data Scientists and Analysts to deliver integrated analytical outputs that span multiple projects. Your responsibilities will include developing algorithms and models that power both internal systems and customer-facing products. You will also be tasked with shaping long-term business strategies using data insights, making critical short-term decisions, and driving initiatives that have a significant impact on the company's growth.

What we offer

Lyft offers a competitive salary range of $148,000 - $185,000, not including potential equity offerings, bonuses, or benefits. You will be part of a collaborative team that values diversity and inclusion, providing an environment where all team members can thrive. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse backgrounds to contribute to our mission.