Senior Analyst

Signifyd helps businesses of all sizes minimize their fraud exposure and grow their sales. Signifyd improves the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud less profitable for criminals.

The Data Science organization at Signifyd is responsible for building, maintaining, and monitoring production ML models and risk management tools that are the core of Signifyd's product. The Senior Analyst will be part of the Merchant Solutions team within the Data Science organization. The Merchant Solutions team maintains a balance between custom and scalable solutions for Signifyd’s customers, and the Senior Analyst will be a direct influencer of how to balance the team’s approach of custom vs scalable solution development. In addition to influencing the team’s approach, the Senior Analyst will also help ensure solutions are achieving their desired results, and make recommendations to adjust approaches as needed.

In terms of culture, we value collaboration and team ownership -- no one should feel they're solving a hard problem alone. Working across job functions, team boundaries, and hierarchies is not only encouraged, but is required to be successful at Signifyd. We’re all in the same boat, and value team members that both seek to influence the direction of travel, and actively contribute to helping Signifyd improve the e-commerce shopping experience.

A typical day:

• Use a combination of data science, analytics, and data engineering based skills to build business insights regarding merchant performance at Signifyd.
• Conduct deep analysis and communicate your findings to a broad group of stakeholders ranging from data scientists to C-suite executives.
• Influence the priorities of the business and data science organization based on your findings, sometimes challenging existing priorities and/or recommending alternatives.
• Developing dashboards, conducting analysis in notebooks, querying relational databases, and investigating fraud patterns to help direct resource allocation within the Merchant Solutions team.

Past experience you'll need:

• A degree in a STEM related field, or equivalent work experience
• 5+ years of post-undergrad work experience
• Strong verbal and written communication skills
• Expert SQL knowledge and practical Python experience for data analysis
• Experience building dashboards with software such as Looker, Tableau, etc.
• Translating ambiguous problem statements into actionable analyses
• Influencing leaders and peers through storytelling with data
• End to end project management for data analysis initiatives from defining requirements, establishing success criteria, and engaging stakeholders.

Bonus points if you have:

• Previous work in fraud, payments, or e-commerce
• Data analysis in a distributed environment
• Familiarity with the Linux command line and version control

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We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.