Senior Data Scientist - SHOP (Remote, United States)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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

Shopify has focused the last decade on solving complex problems for entrepreneurs by making commerce seamless and accessible. Now, we want to do the same for customers through Shop.

Shop is on a mission to change how we shop. From the fastest checkout experience in Shop Pay to all-in-one order tracking and easy ways to find and shop local brands in app, Shop is making shopping better one step at a time for both shoppers and the merchants they buy from. Having launched less than a year ago, Shop is already one of the top 5 apps in North America and we're just getting started.

Job Description

We're looking for a Senior Data Scientist to join our team as we turn Shop into one of the most beloved products and brands in the world. We want shoppers to be able to develop meaningful connections with the brands they love, and we believe that Shop is the answer to helping foster those relationships with the powerhouse of Shopify merchants we love and support.

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.

Your 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 specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
• 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

Qualifications

You will need to have:

• 4-6 years of commercial experience as a Data Scientist solving high impact business problems

• Extensive experience with Python and software engineering fundamentals

• Experience with applied statistics and quantitative modelling (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

• Curiosity about the problem domain and an analytical approach

• Strong sense of ownership and growth mindset

It would be nice if you have:

• Deep understanding of advanced SQL techniques

• Expertise with statistical techniques and their applications in business

• Masterful data storytelling and strategic thinking

• Deep understanding of dimensional modelling and scaling ETL pipelines

• Experience launching productionized machine learning models at scale

• Extensive domain experience in e-commerce, marketing or SaaS