Senior Data Scientist Revenue (Remote, United States)

Remote, OR, United States

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Shopify

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Company Description

Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.

At Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with millions of merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.

Job Description

Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. 

Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

Responsibilities:

  • ​​​​​​Proactively identify and champion projects that solve complex problems across multiple domains

  • Partner closely with product, engineering and other business leaders to influence product and program decisions with data

  • Apply complex analytics and/or ML techniques with a focus on sales performance optmization. 

  • Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas  that support business processes

  • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products

  • Influence leadership to drive more data-informed decisions

  • Define and advance best practices within data science and product teams

#LI-DNI

Qualifications

  • The ability or willingness to work in Pacific Standard Time
  • The ability to discover business opportunities through analytics, then build cross functional project teams to successfully execute and make a  measurable impact

  • Extensive experience with Python or Pyspark and software engineering fundamentals

  • Deep understanding of advanced SQL techniques, dimensional modeling and scaling ETL pipelines
  • Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
  • Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders; Masterful data storytelling and strategic thinking
  • Strong sense of ownership and growth mindset; self-motivated and able to thrive in a remote environment
  • Excellent communication skills

 

Additional Information

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

If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role. 

As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.

#LI-REMOTE

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

Tags: Data pipelines Engineering ETL KPIs Machine Learning Pipelines PySpark Python SQL Statistics

Perks/benefits: Career development Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  24  9  0
Category: Data Science Jobs

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