Senior Data Science Manager - Americas-Remote

Remote, OR, United States

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Shopify

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Company Description

Shopify is the leading omni-channel commerce platform. Merchants use Shopify to design, set up, and manage their stores across multiple sales channels, including mobile, web, social media, marketplaces, brick-and-mortar locations, and pop-up shops. The platform also provides merchants with a powerful back-office and a single view of their business, from payments to shipping. The Shopify platform was engineered for reliability and scale, making enterprise-level technology available to businesses of all sizes. Headquartered in Ottawa, Canada, Shopify currently powers millions of businesses in approximately 175 countries and is trusted by brands such as Allbirds, Gymshark, PepsiCo, Staples, and many more.

Job Description

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

Additional Information

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

At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

 

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

Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS BigQuery D3 Data pipelines Data strategy Engineering GCP Google Cloud HDFS Kafka KPIs Machine Learning Pipelines Python Redshift Scala Spark SQL Statistics Tableau

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States
Job stats:  7  0  0
Category: Leadership Jobs

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