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Data Scientist 1 in Bangalore - Sarjapur Main Rd at PayPal

Date Posted: 9/21/2021

Job Snapshot

Job Description

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. We’re a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We’re guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world.

Data Scientist: Enterprise Data Lake

Enterpriser Data Lake – is a newly formed organization under the Technology Platforms & Experience organization. Its vision is to be the single authoritative source of data for all PayPal and enable our internal and external customers with enterprise product data at lower cost and high quality. To see this vision through, the team will be building this platform on the cloud in close partnership with several key stakeholders across PayPal Inc including product, finance, risk, compliance, governance and strategy teams. We are looking for people with a passion and curiosity to solve customer problems with data.

We are seeking highly talented and experienced Data Scientist to develop and deploy statistical and m/c learning models at scale to create high quality enterprise data lake. You will be working very closely with data analysts, product & engineering, business units and Governance teams.

Come join our team if you’re an individual who’s a fast, innovative thinker with the ability to quickly recognize opportunities and apply your exceptional knowledge and skills to deliver on data science solutions that support outstanding customer experiences with high quality data and insights.


To deliver on data science solutions that support outstanding customer experiences with high quality data on the enterprise data lake

Responsibilities Include:

  • Working with partners to translate data quality challenges into data science problems
  • Mine and analyze massive amount of data to gain insights on data patterns. 
  • Design, develop and maintain data science solutions and scoring models to detect patterns, insights and anomalies with data on the lake leveraging advanced statistical techniques and m/c learning algorithms such as regressions, neural networks, decision trees, etc.
  • Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results that are impactful to business.
  • Develop and implement tools and automation processes to improve the overall efficiency of delivery of data science solutions.
  • Establish robust processes to ensure the accuracy, stability, reproducibility, and overall quality of all data, algorithms, and the results they produce.
  • Pro-active response in identifying and troubleshooting integration or technical issues
  • Look for improvement and innovation opportunities to provide a source of high-quality ideas.
  • Understand the current methodology and provide thought leadership by discovering new ways to improve the overall effectiveness of enterprise data lake quality using data science techniques
  • Represent data science in product and engineering design sessions. Collaborate on key architectural decisions and design considerations
  • Great verbal, communication and follow through skills.
  • Good team player, able to effectively work across multiple teams on solutions that have complex dependencies and requirements in a fast-paced environment.

Job Qualifications:

  • Masters or Statistics, Economics, Operations Research, or similar quantitative field
  • At least 5 to 10 years of professional experience with developing models at scale 
  • A true passion for data, data quality, research and a solid data science approach is preferred.
  • Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical background
  • Solid understanding of probability and statistics
  • Solid understanding of research design, A/B and test-vs-control statistical testing frameworks
  • Solid understanding of unsupervised and supervised machine learning approaches including clustering and classification techniques.
  • Experience in building Machine Learning models (GLM, SVM, Bayesian Methods, Tree Based Methods, Neural Networks)
  • Solid understanding of how to assess the quality of machine learning models – including the ability to tune and optimize models and to diagnose and correct problems.
  • Ability to manage competing priorities and drive projects forward in a dynamic and fast paced business environment.
  • Experienced/Advanced programmer in Scala, Python, or similar programming languages.
  • Experienced/Advanced Programmer in Spark, SQL, and Hadoop/Big Query
  • Familiarity with the fintech industry is preferred.

For more than 20 years, PayPal has remained at the forefront of the digital payment revolution. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, our open digital payments platform gives PayPal’s 400 million active account holders the confidence to connect and transact in new and powerful ways. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying, or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom, enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

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



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