Shopify is hiring a Senior Data Science Manager - Pricing/Promotions (Remote, Americas)

About Shopify

Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. Since 2006, we’ve grown to over 10,000 employees and generated over $496 billion in sales for 2 million merchants in 175 countries. Every 28 seconds, an entrepreneur on Shopify makes their first sale.

This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

About you

Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

Before you apply, consider if you can:

• Care deeply about what you do and about making commerce better for everyone
• Excel by seeking professional and personal hypergrowth
• Keep up with an unrelenting pace (the week, not the quarter)
• Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
• Bring critical thought and opinion
• Embrace differences and disagreement to get shit done and move forward
• Work digital-first for your daily work

About the role

We are looking for a well-rounded Senior Data Science Manager with experience in pricing and incentive optimization to own projects whose scope impacts multiple disciplines and domains at Shopify. They will be responsible for deliverables that have implications on multiple product or service lines within Shopify’s plans & pricing organization. As a Senior Manager, they will grow not just individuals, but the leaders and teams that report into them.

You will:

• Use your experience in pricing optimization to define and implement plans & pricing strategies for Shopify.
• Lead pricing and incentive experimentation work.
• Define and guide the short-term and long-term data strategy for the money service line.
• Partner with other functional teams such as Engineering, Product, & Design to identify unsolved user and business needs resulting in data powered solutions that scale.
• Provide technical leadership to our data science teams and lead them as they analyze data, implement statistical techniques, create data visualizations, and build data pipelines (using Python, Spark, SQL, Mode, Tableau...etc). 
• Cultivate a data-informed culture and deliver meaningful insights that drive product roadmaps and optimize business strategies.
• Drive excellent practices for establishing metrics & KPIs to drive cross-functional alignment. 
• Collaborate with peer leaders in the product line Data Science team (and the broader Data org) to improve and drive the group-wide Data Science & Engineering vision.

Qualifications

You have:

• Documented experience in pricing optimization and defining pricing strategy through advanced analytics and data science efforts.
• Experience in driving customer growth through pricing optimization and experimentation. 
• Been a leader in multiple tech companies where analytics on top of massive data sets drives product & business decisions.
• Previously managed other managers and can oscillate your leadership style relative to the needs of individual contributors that are also on your team.
• Exceptional problem solving and analysis skills combined with the ability to synthesize and effectively communicate findings to both technical and non-technical stakeholders.
• A product mindset that enables you to get to the root of problems faced by customers and users and to create data solutions and products to solve these challenges.

It would be great if you have experience with:

• Cloud platforms: Google Cloud Platform (GCP), AWS
• Large-scale data-platform tools:
• Data Storage and Access: HDFS, Presto
• Data processing/integration: Kafka, Spark
• Analytics Datastores: AWS Redshift, GCP BigQuery
• Visualization: D3, Mode Analytics, Tableau
• Programming languages: Python, Scala
• SQL and debugging SQL queries
• Analytical techniques:
• Background in machine learning including experience implementing models at scale, including in the areas of price elasticity modeling and experimentation
• Experimentation: A/B test design and analysis, quasi-experiments
• Attribution-modeling
• Forecasting

All your information will be kept confidential according to EEO guidelines.

We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you’re really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you’d like in the answers on the next page. 👍 📖

At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

#LI-KO3 #LI-REMOTE #LI-AH1

The shape of a Shopify career

Ben joined Shopify as a frontline Support Advisor with no background in programming or computer science. He’s now a Director of Engineering. Spanning 10 jobs on 7 teams in 9 years, Ben’s Shopify career path has twisted and turned as he’s worked relentlessly to pursue a career as an engineer and adapted to the pace of change—all fuelled by personal and professional hypergrowth.

Our mission as a company is to spread entrepreneurship and help individuals become their own bosses and take control over their lives. I truly believe this mission and value in extreme personal growth and development extends to what’s expected as a Shopifolk. Shopify doesn’t like to tell people what to do. Not only is your career in your own hands, a lot of your day-to-day is too, which can be jarring for many people. To thrive here, you need to be someone who’s willing to take big bets on yourself and figure things out on your own.

Ben Cox

Director, Support & CX Engineering