What are the responsibilities and job description for the Senior Manager, Data Science - AdTech position at Socotra, Inc.?
At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.
Data Science is at the heart of Lyft’s products and decision-making. As the Senior Data Science Manager for Lyft Media, 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 business insights.
We’re looking for a passionate, driven Senior Manager of Data Science with strong experience in the Advertising / AdTech industry to take on some of the most interesting and impactful problems and lead some of the best scientists in the industry.
This role will be overseeing the teams on Lyft Media and Lyft Business. You will be working on one of the most profitable and fastest growing revenue centers in our company.
As a trusted leader in the broader Data Science org, you will define and drive the Data Science strategy, vision, and roadmap for Lyft Media, while ensuring that the team has all the necessary tools and infrastructure to perform their work. You will also be responsible for building and executing a strategy for self-service data science and analytics experiences across the organization.
In this role, you will be a key partner to Product, Engineering, Science, Operations leaders, and cross-functional stakeholders to ensure consistent delivery of what the organization and our partners need. You will be managing a team of data scientists and 1 DS Manager to start, with potential for additional team expansion.
The ideal candidate will have deep expertise in the Advertising / AdTech industry and strong technical know-how to build at scale. This candidate should be able to navigate complex technical topics, strategic problem solving, and team development to deliver business impact. If you’re driven, collaborative, resourceful, and can communicate complex ideas with ease, then we’d like to talk to you.
Responsibilities :
- Build and lead a high-performing team of data scientists
- Experience leading and managing teams of managers is preferred
- Work with cross-functional partners in product, engineering, design, finance, and operations to achieve business goals
- Prioritize and lead deep dives into our data to uncover new product and business opportunities
- Prioritize and lead development of productized models to automate operational decision-making and drive operational productivity
- Develop analytical frameworks, roadmaps, and metrics for the team and broader organization
- Collaborate with other leaders and executives to build data-informed business strategy and product roadmaps
- Serve as a champion of sound decision-making at all levels of the company
Experience :
Benefits :
Lyft is an equal opportunity / affirmative action employer committed to an inclusive and diverse workplace. 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 or any other basis prohibited by law.
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. #Hybrid
The expected base pay range for this position in the San Francisco area is $200,000 - $250,000. 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.
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Salary : $200,000 - $250,000
