Data Scientist 2

Description

Job Title : Data Scientist 2
Location : Bengaluru, Karnataka+1 location
Company : PayPal
Salary :
Open Date : 2023-04-12
Close Date : 2023-08-12

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: We are seeking a highly motivated team player with strong analytical skills who specializes in creating, driving, and executing projects. As a Senior 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.

Job Description:

Your day to day

  • 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
  • 6+ 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
  • Analysis of existing applications to identify weakness and develop opportunities for improvements
  • 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)
  • Experience in risk management (Sanctions, AML, Fraud, Credit, Compliance, 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 help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.


We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com


Who We Are:


To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx


PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected].

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.


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