Analyst, Merchant Solutions


We switched to a 4 day work week in January 2022 (32hrs / week)

Only considering candidates eligible to work in the USA ⚠️

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 Merchant Solutions team within Data Science maintains a balance between custom and scalable solutions for Signifyd’s customers. As an Analyst, you will be part of the Merchant Solutions team within the Data Science organization, helping to ensure solutions are achieving their desired results.

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 engineering, science, and analytics based skills to build business insights regarding merchant performance at Signifyd.
  • Utilize a combination of in house developed tooling and adhoc analyses to identify opportunities and evaluate merchant performance.
  • Developing dashboards, conducting analysis in notebooks, querying relational databases, and investigating fraud patterns to help manage merchant performance.
  • Collaborate with data scientists to understand the reasoning behind model decisions, root causing incorrect decisions, and developing ideas to improve model decisions.

Past experience you'll need:

  • A degree in a STEM related field, or equivalent work experience
  • 2+ 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 peers through storytelling with data

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

Check out how Data Science is powering the new era of Ecommerce

Check out our Director of Data Science featured in Built In


Benefits in our US offices:

  • Discretionary Time Off Policy (Unlimited!)
  • 401K Match
  • Stock Options
  • Annual Performance Bonus or Commissions
  • Paid Parental Leave (12 weeks)
  • On-Demand Therapy for all employees & their dependents
  • Dedicated learning budget through Learnerbly
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Account (FSA)
  • Short Term and Long Term Disability Insurance
  • Life Insurance
  • Company Social Events
  • Signifyd Swag

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.

Signifyd provides a base salary, bonus, equity and benefits to all its employees. Our posted job may span more than one career level, and offered level and salary will be determined by the applicant’s specific experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

USA Base Salary Pay Range

$85,000—$110,000 USD

Signifyd's Applicant Privacy Notice

Optimize Revenue + Automate Orders + Eliminate Fraud

Working Week

We switched to a 4 day work week in January 2022 (32hrs / week)

  • Mon
  • Tue
  • Wed
  • Thu
  • 🏖️

Our Vacation Policy

Our vacation policy varies by location e.g. in the USA we offer Discretionary Time Off Policy (unlimited) and in the UK we offer 20 days PTO plus public holidays. For the UK this works out as:

  • 28 days
  • 52 Fridays
  • 80 days off per year

Remote Working Policy

We have offices in San Jose, New York, Denver, Belfast, London, Sao Paulo and Mexico City. Many of us also work 100% remotely.

Company Benefits

  • Health insurance
  • 401K Match
  • Generous parental leave
  • Dentalcare
  • Equity / options
  • Equipment allowance

Our Team

We're a team of 550 across 19 departments:

  • engineering
  • data science
  • sales
  • support
  • operations
  • business development
  • marketing
  • +12 more teams

Desirable Skills and Experience

  • Looker
  • Tableau
  • Python
  • SQL
  • Python
  • Data analysis
  • Dashboard development
  • Relational databases
  • SQL
  • Python
  • Data storytelling
  • Linux command line
  • Version control

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