Data Scientist, Decisions - New Product Development

Lyft; New York (NY); Hybrid; USD 108,000 - 135,000; Full time

Job summary

A leading company in the transportation sector is seeking a Data Scientist to join their Rider team. This role involves leveraging data to influence product development and business decisions, while collaborating with cross-functional teams. The ideal candidate will have a strong analytical background and experience in data science, particularly in SQL and programming with Python or R. The position offers a hybrid work schedule and competitive benefits.

Benefits

Medical, dental, and vision insurance

Mental health benefits

Family building benefits

Child care and pet benefits

401(k) plan

Paid time off

Paid parental leave

Subsidized commuter benefits

Exclusive Lyft team member benefits

Qualifications

• 3+ years of industry experience in a data science or analytics role.
• Experience in online experimentation and statistical analysis.

Responsibilities

• Incubate new product ideas and leverage data for growth.
• Design and analyze online experiments; communicate results.

Skills

SQL

Communication

Analytical Thinking

Education

Degree in a quantitative field

Tools

Python

R

Job description

Data Scientist, Decisions - New Product Development

Join to apply for the Data Scientist, Decisions - New Product Development role at Lyft

Data Scientist, Decisions - New Product Development

Join to apply for the Data Scientist, Decisions - New Product Development role at Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Science is at the heart of Lyft’s products and decision-making. As a member of the Rider 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 Senior Data Scientist in the Rider team, you will leverage data and rigorous, analytical thinking to shape our rider app and make business decisions that put our customers first. You will identify and scope opportunities, shape priorities, recommend technical solutions, design experiments, and measure impact. You will bring a quantitative mindset to decision-making in partnership with product, design, engineering, business, and operations stakeholders throughout the organization.

You will report to a Data Science Manager in the Rider Science space.

Responsibilities:

• Incubate new product ideas.
• 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 online 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 or engineering (advanced degrees preferred), or relevant work experience.
• 3+ years of industry experience in a data science or analytics role.
• Proficiency in SQL - able to write structured and efficient queries on large data sets.
• Experience in programming, especially with data science and visualization libraries in Python or R is helpful.
• Experience in online experimentation and statistical analysis.
• Strong communication skills, and ability to collaborate with and influence cross-functional partners.
  
  

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
  
  

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. 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, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the New York City area is $108,000 - $135,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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