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Senior Full-stack Data Scientist en Madrid o en remoto

Affirm

Lugar de trabajo
En remoto
Horas
Full-Time
Prácticas
false
Habilidades
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Descripción de la oferta

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm, Inc. proudly includes Affirm, PayBright, and Returnly.

At Affirm/Returnly, we value you as a whole person. We care about the skillset you bring to the table, but more importantly, we care about the kind of person you are, and the culture and attitude you bring to the table. As a Senior Full Stack Data Scientist, you will build data products that will affect thousands of customers with the objective to improve user experience, drive revenue and optimize processes. You will find success in this role if you are a seasoned data scientist who enjoys to design, build and implement statistical models, covering the whole process end-to-end from idea to production.

What you'll do

  • Solve new and challenging problems around eCommerce payments, credit issuance and settlement, fraud detection, SaaS integration, model serving
  • Work cross-functionally with some of the best people in different disciplines like data science, analytics, finance, product management, marketing & sales, design
  • Break down business problems into statistical and machine learning problem formulations
  • Explore, identify, query and correlate data from several different state-of-the-art data sources (Snowflake, Databricks Delta, Redis, etc.)
  • Use advanced statistical methods to identify meaningful patterns, producing insights from data
  • Develop robust classification, function approximation and anomaly detection models based on relational, text, image and time series data
  • Use feature engineering to extract the best signals for a problem and apply suitable regularization techniques
  • Develop and write production grade code in Python for our back-end microservices and REST APIs that serve our machine learning applications
  • Drive quality by writing unit, integration, and performance tests in a continuous delivery environment

What we look for

  • 6+ years industry experience
  • Very good understanding of applied statistics, such as distributions, hypothesis testing, regression, classification, etc.
  • Excellent understanding of machine learning techniques and algorithms, such as k-means, k-NN, naive Bayes, SVM, tree-based models, HMM, neural nets, deep learning etc.
  • Thorough, expert level knowledge of data structures, algorithms, object oriented programming and design patterns in Python
  • Deep understanding and experience of various technologies, frameworks and libraries in the Python ecosystem
  • Strong familiarity with *nix environment including bash and command-line tools
  • Experience with Git version-control system
  • Strong experience with relational and non relational databases, including SQL
  • Familiarity of web service technologies and REST best-practices
  • Basic understanding of distributed systems in a cloud environment, and event-driven architecture
  • Bachelors or Masters degree in Computer Science, a related field or equivalent experience
  • Strong interpersonal and communication skills are required
  • Excellent command of the English language, both written and spoken is a must for communicating with a global team
  • Proven track record of shipping models in a delivery-focused environment
  • Exposure to Amazon Web Services
  • Prior startup experience a big plus

What We Offer

  • Medical insurance for the whole family including dental coverage
  • €340 monthly expenses for gym, lifestyle, etc.
  • 23 standard PTO (Paid Time Off) days, plus up to 2 days from the benefits (to be used on special dates)
  • An apple laptop and whatever you need to do your job comfortably and productively.
  • We do performance and compensation reviews, and we will try to help you become your better self, be it via mentoring, training, feedback or the possibility to dab on fields where you are not yet an expert.
  • We have a very flexible approach to working hours. You can stop to go to the gym, get your little ones to or from school, meditate or do whatever you need or want. There is a need for a certain amount of overlap with Pacific Coast working hours needed for meetings and collaboration that does not fit into asynchronous communications, however, we try to prioritize those, and your main collaborators are based in Spain.

Location - 100& Remote Spain

Affirm is proud to be a remote-first company! We are currently building operations in Spain. All of our roles are 100% remote.If you got this far, we hope you're feeling excited about this role. Even if you don't feel you meet every single requirement, we still encourage you to apply. We're eager to meet people who believe in Affirm's mission and can contribute to our team in a variety of ways—not just candidates who check all the boxes.

 
Inclusivity:

At Affirm, People Come First is one of our core values, and that’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our D&I program here and our progress thus far in our 2020 DEI Report.

We also believe It’s On Us 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.

By clicking "Submit Application," you acknowledge that you have read the Affirm Employment Privacy Policy, or the Affirm Employment Privacy Notice (EU) for applicants applying from the European Union, and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.



 

Acerca de Affirm

  • E Commerce

  • San Francisco, CA, USA

  • 1,000 - 5,000

  • 2014

We’re excited to announce that Affirm is now a remote-first company! The majority of our roles can be accomplished anywhere in the U.S. and Canada (with the exception of Quebec). While most Affirmers will have the option to choose a remote-first accommodation, our offices in San Francisco, New York City, Pittsburgh, Chicago, and Salt Lake City will remain operational and accessible for anyone to use on a voluntary basis.

At Affirm, we’re using today’s technology to bring significant disruptive innovation to the financial industry. We focus on improving the lives of consumers by delivering simple, honest and transparent financial products.

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