Staff Software Engineer
Affirm
Katowice, PL
1 d. temu
source : Just Join IT

Pandas (advanced)

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.

Affirm’s Machine Learning team solves problems critical to our business model - personalizing shopping experiences, detecting fraud, optimizing interest rates, and assessing creditworthiness in real time.

Our innovative products necessitate the creation of novel machine learning solutions to drive both existing and new products.

What You'll Do

  • Use Affirm’s data to develop machine learning models that predict cash flows, financing programs, and optimize pricing for merchants.
  • Build financial forecasting applications for Affirm’s two-sided marketplace
  • Research ground breaking solutions and develop prototypes that drive the future of decisioning at Affirm
  • Implement and scale data pipelines, new features, and algorithms that are essential to our production models
  • Collaborate with the engineering, quantitative markets, merchant pricing, and product teams to define requirements for new products
  • Evaluate new data sources to use in a cost-effective way in our models to add value
  • What We Look For

  • B.S. with 6+ years of industry experience, M.S. with 5+ years, or PhD with 4+ years
  • Proficiency in machine learning with experience in areas such as gradient boosting, deep learning, recommendation systems, computational advertising, reinforcement learning, financial forecasting, time series analysis, anomaly detection, monte-carlo simulations, and Markov decision processes
  • Strong programming skills in Python. Experience using frameworks for machine learning and data science like scikit-learn, pandas, numpy, XGBoost, TensorFlow, mllib
  • Experience with the AWS technical stack and data infrastructure such as MySQL, Spark, Kubernetes, Docker, and Airflow
  • Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
  • The ability to present technical concepts and results in an audience-appropriate way
  • Persistence, patience and a great sense of responsibility we build the decisioning that drives Affirm’s business!
  • Compensation & Benefits

  • We offer a competitive package, with some highlights listed below. However, the given figures are not guaranteed compensation ranges;
  • rather, they are unbinding, approximate indications of what the salary may be for your awareness. The actual salary may be less than the lower range or greater than the upper range, depending on skills and experience.

    No employee is guaranteed salary at the amount of the lower range.

  • Targeted Gross Monthly Salary : 23 917 - 28 700 PLN
  • New hires who commence employment with Affirm before June 30, 2022, and are employed for one year, are eligible to receive 100 000 PLN as a sign-on bonus
  • Flexible Spending Wallets for tech, food, lifestyle
  • Generous time off policies
  • Away Days - wellness days to take off work and recharge
  • Learning & Development programs
  • Parental leave
  • Robust health benefits
  • Employee Resource & Community Groups
  • 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.

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