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Senior Full-stack Data Scientist in Madrid

Affirm

Category
Data Engineer
Industry
eCommerce Industry
Workplace
Onsite
Hours
Full-Time
Internship
No
Skills
SQL Python OOP Machine Learning AWS Algorithms
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Job Description

At Returnly we help brands that care about shopper loyalty offer better product returns. We are a financial technology services company that builds award-winning products that drive repurchase behavior and customer loyalty. We’re backed by smart money VCs in Fintech including some prominent members of the Paypal Mafia. Our headquarters are in San Francisco Financial District and we have offices in Chicago and Madrid. We are on a mission to de-risk online commerce and are building a team of amazingly talented people to help us do it.

About the role:

At 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.

About you:

Here’s what we look for in the attitude department:

    • You are a seasoned and versatile data scientist, who is passionate about your work
    • You have a strong sense of ownership and accountability
    • You are proactive and adaptable
    • You like to solve problems and to fill in the gaps where there are unknowns
    • You are a craftsman in your trade but you understand when “good enough” is enough
    • You are analytical and have keen attention to details
    • You have your own opinions and you are not shy about them, but you also value consensus and strive to achieve it
    • You lead your teammates by example, you’re the “go to” individual
    • You’re not afraid to change your mind given new facts, nor are you afraid to admit your mistakes
    • You thrive in a semi-structured start-up environment with ample opportunity and also plenty of ambiguity
    • You can wear multiple hats
    • You have excellent communication skills and are able to explain your ideas clearly and concisely and enjoy sharing them
    • You are very serious about the quality of your work and you ask no less from your colleagues
    • You understand and are interested in both big picture and nitty-gritty details

What you'll be doing

    • 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're looking 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

Our values:

Diversity - We are diverse, independent thinkers and still one team with one mission.

Openness and empathy - We learn and grow by listening to our customers and each other.

Integrity - We always do what’s right for our customers, Returnly and ourselves - in that order.

Team - EQ is as important as IQ. We make time to help each other out.

Commitment - We are curious and fearless. We own risk, outcomes and everything in between.


We'd really love to hear from you, but before applying please check the following...

Read the values section above carefully and ask yourself if this is a good match for you personally. We want you to be an ambassador of these values!

Do you have all the skills required for this role? Can you demonstrate them? Be realistic - we will only consider applications that demonstrate relevant skills and match these role requirements.
 

Read full job description

About 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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