Instacart
2 days ago
Were transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
OVERVIEW
ABOUT THE ROLE - We are currently seeking a Staff Data Science Engineer to join our cutting-edge team at Instacart, where were transforming online grocery delivery with data-driven technical solutions. Our mission is to create impactful 0 to 1 intelligent systems that revolutionize the way we do business. As a key player in our dynamic environment, youll engage in strategic development, pioneering new data collection and integration methods, while building intuitive tools to empower fellow data scientists. Collaborate cross-functionally to influence multiple facets of our product, merging data science with engineering to drive innovation.
ABOUT THE TEAM - The Data & Systems team focused on driving complex, data-driven solutions that span multiple teams, with an emphasis on online grocery delivery.
ABOUT THE JOB
The way we will execute on our mission is to lead:
- Intelligent systems strategy: Engage across the company and identify the most promising opportunity areas across the product along with contributing data expertise to refine and develop new product ideas
- Data collection and distribution: Identify and introduce new and valuable datasets to Instacart and onboard teams to use the new datasets
- Intelligent systems tooling: Build interfaces to Instacart’s infrastructure that enable data scientists to easily train and deploy new intelligent systems while automatically complying with all company policies
- Technical work with implications across multiple teams: Own building systems and performing analysis that impact multiple teams and is often deeply complex or critical to get right
The role requires strong XFN collaboration where an ideal candidate can:
- Drive critical efforts to completion with little oversight, while jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc).
- Bring new ideas to the team that get incorporated into the product roadmap
- Ruthlessly prioritize among requests from multiple competing stakeholders
- Act as a senior cross-functional leader, aligning the org on principles, processes, and goals
ABOUT YOU
MINIMUM QUALIFICATIONS
- 6+ years of work experience in a data science or related field
- Expert in Python, SQL, git, and Jupyter notebooks
Deployed several machine learning models to production and had to support those models
- Know how machine learning algorithms work
- Deeply passionate about building tools to enable data scientists to maximize their impact
PREFERRED QUALIFICATIONS
- 8+ years of work experience in a data science or related field
- Significant experience as a backend software engineer in a data-related space
- Expert in scikit-learn - you know the philosophy behind the API extremely well
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.