Data Scientist 1

hace 3 semanas

Ciudad de México PayPal A tiempo completo

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 data-driven 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 problem-solving, 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, fast-paced 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 scikit-learn, PuLP and other linear programming packages on GCP
- Perform data exploration, pre-processing 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 fine-tune 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 easy-to-understand 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
- 3-5 years of experience with machine learning, experience analyzing large, multi-dimensional 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
- Well-developed 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
- Team-oriented, must be self-motivated, plan and manage time effectively, and be customer-focused
- 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/ (e-Commerce 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

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