Data Scientist - Decisions

Data Scientist At Lyft, our mission is to improve people’s lives with the world’s best transportation. To achieve this, we initiated within our own community by creating an open, inclusive, and diverse organization. The Marketplace team at Lyft is responsible for accelerating the company's growth and achieving our top business/company objectives concerning financial metrics and marketplace performance. The team delivers analysis and use cases to support Product teams, develops automated tools, and manages growth investments. We are in search of a Data Scientist to join the Central Market Management team to influence Lyft’s products and decision-making process. You will cooperate with cross-functional stakeholders to analyze and enhance product and data performance while gaining enormous executive exposure. You will identify our marketplace’s most crucial competitive gaps and create frameworks and pipelines to tackle them. We’re seeking an intellectually curious individual who possesses extraordinary attention to detail, a history of analytical problem-solving, and proficient communication. You will report to a Data Science Manager. Responsibilities: - Utilize data to construct analytic frameworks to identify growth and efficiency opportunities - Collaborate with product managers, engineers, and operators to translate analytical insights into decisions and actions - Identify trends and patterns in competitive data to inform business decisions - Construct data pipelines and develop analytical frameworks to monitor business and product performance - Establish metrics that measure the competitive health of our products, as well as rider and driver experience - Work closely with product and engineering and communicate findings to stakeholders in a clear and concise manner Experience: - Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering (advanced degrees preferred), or relevant work experience - 3+ years of industry experience in a data science or analytics role - Proficiency in SQL - ability to write structured and efficient queries on large data sets - Experience in programming, particularly with data science and visualization libraries in Python or R - Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners Benefits: - Extended health and dental coverage options, along with 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, with an additional day for each year of service - 4 Floating Holidays each calendar year prorated based on the date of hire - 10 paid sick days per year regardless of province - 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Lyft wholeheartedly encourages and hires a diverse workforce. Lyft believes that everyone has a right to the same employment opportunities without discrimination because of race, ancestry, place of origin, color, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offenses, or any other base protected by the law or company policy. Lyft also advocates for a healthy and safe workplace and categorically prohibits harassment of any kind. Accommodation for persons with disabilities will be offered upon request in accordance with the law during the application and hiring process. Please contact your recruiter now if you wish to make such a request. This role will be in-office on a hybrid schedule following the establishment of a Lyft office in Toronto — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays, and a team-specific third day. Moreover, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.