Data Scientist (вакансія неактивна)

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data Science is at the heart of Lyft’s products and decision-making. As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.

As a Data Scientist, Decisions, you will leverage data and rigorous, analytical thinking to shape the company’s product and business decisions. You will identify and scope opportunities, shape priorities, recommend solutions, design experiments, and measure impact. You will bring a quantitative mindset to decision-making in partnership with product, business, and operations stakeholders throughout the organization.

Sample problems that we solve:

• How does high quality support interactions drive future loyalty to Lyft?
• How can generative AI play a role in creating a high quality support experience for all users?
• How can we build world class safety products to make the platform even safer?
• What’s the causal relationship between customer satisfaction metrics and retention?

Responsibilities

• Leverage data and analytic frameworks to identify opportunities for growth and efficiency.
• Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action.
• Design and analyze experiments; communicate results and act on launch decisions.
• Develop analytical frameworks to monitor business and product performance.
• Establish metrics that measure the health of our products, as well as rider and driver experience.

Experience

• Degree in a quantitative field such as statistics, economics, applied math, operations research, engineering, or relevant work experience. Advanced degrees are preferred.
• 3+ years of industry experience in a data science or analytics role.
  
  

Benefits:

• Health insurance, life and personal accident insurance benefits.
• Mental health benefits.
• 28 days of paid time off in addition to 12 observed holidays.
• Family building benefits.
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.