Data Science Manager (Product)

Location: San Francisco
Job Type:

IQ Workforce is a leading recruiting firm for the global analytics & data science community.

Our client is one of the most successful marketplace technology start-ups in the last 10 years. Since 2012, they have grown to service almost 80% of US homes, offering items delivered from 15,000+ stores across over 4,000+ cities with the help of 70,000+ shoppers.

This client has a rapidly growing 20+person data science team, made up of Managers and Sr. Data Scientists. They are currently looking to add another experienced Manager to oversee a mid-sized team (4-6+).

In this role you will lead a team of data scientists and be responsible for leveraging data to help your stakeholders learn and make better decisions. Your stakeholders include their product teams as well as their operations and your team will be driven by having a large impact on the success of these teams. You will strategically collaborate with senior product and operations leadership to achieve this.

Responsibilities include:
Build and lead a high-performing team of data scientists

Work with cross-functional partners in product, engineering, design, and operations to achieve business goals

Collaborate with other leaders to build data-informed product strategy and roadmaps

Develop analytical frameworks and metrics for the team and broader organization

Provide hands-on technical guidance and career mentorship for team members

Lead and prioritize deep dives into our data to uncover new opportunities

Qualifications:
5+ years work experience in a quant role at a product company

2+ years people management experience

Ability to quickly understand business concepts and influence product decision making

A desire to build and improve consumer software products

Ability to write complex, efficient, and eloquent SQL queries to extract data

Ability to write efficient and eloquent code in Python (preferred), R, or C/C++

Ability to run rigorous experiments and come up with scientifically sound recommendations

Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company