Staff Data Scientist, Hungary

Staff Data Scientist, Hungary Budapest, Hungary; Apply 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 on 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.  How you'll have an impact: Build production machine learning models that identify fraud Collaborate with engineering teams to strengthen our machine learning platform Own and ship multiple large products, complex libraries or major pieces of software Deepen our understanding of the key entities used in our decisions Write production and offline analytics code in Python Communicate complex ideas to a variety of audiences Lead a wide range of complex situations across multiple axes: scale, uncertainty, and  interconnectedness Past experience you'll need: A degree in computer science or a comparable analytical field 7+ years of post-undergrad work experience required Building production ML models Using visualizations to communicate analytical results to members outside your team Hands-on statistical analysis with a solid fundamental understanding Writing code and reviewing others' in a shared codebase, preferably in Python Practical SQL knowledge Designing experiments and collecting data Familiarity with the Linux command line Bonus points if you have: Previous work in fraud, payments, or e-commerce Data analysis in a distributed environment Passion for writing well-tested production-grade code A Master's Degree or PhD Check out how Data Science is powering the new era of Ecommerce Check out our Director of Data Science featured in Built In #LI-Hybrid   Benefits: Stock Options Annual Performance Bonus or Commissions Pension matched up to 3% ‘Day one’ access to great health insurance scheme Enhanced maternity and paternity leave (12 weeks full-pay for mums & dads) Paid team social events Mental wellbeing resources Dedicated learning budget through Learnerbly   Signifyd's Applicant Privacy Notice Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Location (City) Locate me Resume/CV Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf What is your preferred name? * LinkedIn Profile How did you hear about this job? * Select... Are you legally authorized to work in Hungary? * Select... Are you on any kind of work visa currently? * Select... We care about addressing everyone correctly. Share your personal pronouns with the hiring team if you'd like. she/her/hers he/him/his they/them/theirs What are personal pronouns? Personal pronouns are the pronouns that other individuals would use to refer to you. You can select multiple sets of pronouns. Signifyd EMEA Demographic Questions Signifyd is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive, safe environment for all candidates and employees. Candidate demographic data in the aggregate provides a wealth of information that we can use to assess progress against our diversity and inclusion goals and identify areas we can do better. By answering these demographic questions, you are helping Signifyd become a more inclusive place for all of us to do our best work! What is your gender? * Select... What is your race/ethnic group? * Select... What is your highest level of school you have completed or the highest degree you have received? * Select... Which of the following categories best describes your employment status? * Select... Do you consider yourself to have a disability? * Select... Submit application