Data Scientist 1 - Ciudad de México - PayPal

PayPal

Empresa verificada

Ciudad de México

hace 4 semanas

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee

Descripción

At PayPal (

NASDAQ:
PYPL), we believe that every person has the right to participate fully in the global economy.

Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary:
What you need to know about the role

As a Data Scientist, this person will be providing datadriven solutions for managing and optimizing the AI models for GFCCP Workforce Planning and Management program at PayPal. This role will primarily involve in developing and optimizing forecasting models, schedule optimization models, and enhanced affinity scoring models for routing and prioritization of leads delivery. This role will be supporting data exploration, extraction, configuration, modeling, and developing solutions to improve customer experiences. This person will also be working closely with our technology partners in defining requirements, global operations partners, identifying and driving sustainable operational improvements, as well as with the product development partners to ensure proper implementation of the solution. If you are a driven, analytical thinker that values collaboration, continuous learning, and problemsolving, we would love to hear from you. Meet our team You will be part of GFCCP Workforce Planning and Management team, managing all the backend forecasting, schedule optimization and routing models for business operations. You will join a dynamic, fastpaced environment that is continually growing and transforming in service of our customers.

Job Description:

Your way to impact

Your day to day
In your day to day role you will

Design and develop forecasting and optimization models using Python libraries such as scikitlearn, PuLP and other linear programming packages on GCP
Perform data exploration, preprocessing and feature engineering to prepare data for modeling using GCP data storage and processing technologies such as BigQuery, Dataflow, and Cloud Storage
Work closely with business partners to translate service center business requirements into modeling requirements
Analyze and interpret the results of the models and communicate the findings to stakeholders
Optimize and finetune the models for better performance
Update the optimization and forecast models for new or altered business logic in future
Adhere to software engineering best practices while collaborating with data engineers & ML engineers using GitHub, Jira, etc.
Partner with stakeholders (Product, Technology, Operations) to continually improve/optimize models
Share findings by organizing the data results into easytounderstand frameworks using Tableau or other visualization tools.

What do you need to bring-

Master's degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
35 years of experience with machine learning, experience analyzing large, multidimensional data sets and synthesizing insights into actionable solutions
Must have Python proficiency
Must have proficiency writing complex SQL queries
Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation, and optimization (including linear programming) problems on large scale data sets. Ideally experience with timeseries forecasting as well.
Must have proven ability to merge and transform disparate internal & external data sets together to create new features
Experience with supporting deployment, monitoring, maintenance, and enhancement of models in production environment (GCP)
Experience with data visualization tools preferred
Tableau, Seaborn, Plotly, etc.
Ability to independently manage, organize and prioritize multiple tasks, projects, and responsibilities
Welldeveloped research and analytical skills with good problem solving and lateral thinking ability
Ability to rapidly learn new concepts (technical, risk, business) a critical success factor in this role
Teamoriented, must be selfmotivated, plan and manage time effectively, and be customerfocused
Detailed, thorough, diligent individual with robust data analysis, and time management skills
Proven ability to function well independently as well as in a team
Excellent verbal and written communication skills with the ability to articulate concepts and ideas to diverse audiences
Experience within the financial industry, with payments/ (eCommerce knowledge preferred)

Preferred Qualifications:

Experience in risk management (AML, Fraud, Brand Risk Management, Due Diligence, Credit, Compliance, Sanctions, CIP/KYC etc.)
Experience in payments industry

Our Benefits:
At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset—you. That's why we offer benefits to h