Data Scientist, Decisions

Data Scientist, Decisions

At Lyft, our mission is to enhance people's lives with the world's leading transportation. To achieve this, we begin within our own community by fostering an open, inclusive, and diverse organization.

The Marketplace team at Lyft is accountable for driving business growth and achieving our highest business/company objectives relating to financial metrics and marketplace performance. The team contributes analysis and use cases to assist Product teams, develop automated tools, and oversee growth investments. 

We are seeking a Data Scientist to join the Central Market Management team to assist in shaping Lyft’s products and decision-making processes. You will cooperate with cross-functional stakeholders to scrutinize and enhance product and data performance, gaining substantial executive exposure in the process. You will detect our marketplace's most crucial competitive gaps and establish frameworks and pipelines to address them. We are seeking an intellectually inquisitive individual who offers exceptional attention to detail, a history of analytical problem-solving, and adept communication.

You will report to a Data Science Manager.

Responsibilities:

• Utilize data to create analytical frameworks to identify opportunities for growth and efficiency
• Collaborate with product managers, engineers, and operators to convert analytical insights into decisions and actions
• Recognize trends and patterns in competitive data to guide business decisions
• Develop data pipelines and analytical frameworks to monitor business and product performance
• Establish metrics to assess the competitive health of our products and the experience of riders and drivers
• Work together with product and engineering and effectively communicate findings to stakeholders

Experience:

• Degree in a quantitative discipline such as statistics, economics, applied mathematics, operations research or engineering (advanced degrees preferred), or relevant work experience
• 3+ years of industry experience in a data science or analytics role
• Proficient in SQL - capable of writing structured and efficient queries on large data sets
• Experience in programming, particularly with data science and visualization libraries in Python or R
• Strong verbal and written communication skills, and the ability to collaborate with and influence cross-functional partners 

Benefits:

• Extended health and dental coverage options, including life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Access to a Health Care Savings Account
• In addition to provincial observed holidays, team members receive 15 days paid time off, plus an additional day for each year of service
• 4 Floating Holidays each calendar year, prorated based on hire date
• 10 paid sick days per year, regardless of province
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Lyft is committed to recruiting and employing a diverse workforce. Lyft firmly believes that every individual is entitled to equal employment opportunities, without discrimination due to race, ancestry, place of origin, color, ethnic origin, citizenship, faith, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offenses, or any other basis protected by applicable law or company policy. Lyft also strives to maintain a healthy and safe workplace and strictly forbids harassment of any form. Accommodation for individuals with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you want to make such a request.

This role will be based in-office on a hybrid schedule following the establishment of a Lyft office in Toronto — Team Members are expected to work in the office 3 days per week on Mondays, Thursdays, and a team-specific third day. Furthermore, hybrid roles offer the flexibility to work from any location for up to 4 weeks per year.