Data Scientist

3 weeks ago

Bengaluru Karnataka, India PayPal Full time

**The Company**

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary: What you need to know about the role
- We are seeking a highly motivated team player with strong analytical skills who specializes in creating, driving, and executing projects. As a Data Scientist, this person will be providing data-driven solutions for managing and optimizing the AI models for 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. Meet our team This role will be supporting data exploration, extraction, configuration, modelling, and developing solutions to improve customer experiences. You 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

**Job Description**:
**Your way to impact**

WFM&P data scientists aim at optimizing operational expenses by assessing the opportunities of improved automation, workforce demand, scheduling, budgeting, etc... Its an end-to-end impact we make through our customer’s journey.

**Your day to day**
- Design and develop forecasting and optimization models using Python libraries such as scikit-learn, PuLP and other advanced linear programming techniques 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
- Analyze and interpret the results of the models and communicate the findings to stakeholders
- Optimize and fine-tune the models for better performance
- 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**-**

Try to limit the list of requirements to “must-haves” that are essential to the core functions of the role.

Must-Haves:

- Master’s degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
- 3+ years of experience with machine learning, experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- Must have Python profici

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