Machine Learning Scientist 3 - Bengaluru, India - PayPal

PayPal
PayPal
Verified Company
Bengaluru, India

1 week ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter


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.


Job Description Summary:

The role offers to develop Machine Learning based automated alerting process which can detect anomalies across merchant & consumer domains along with identifying the root cause so that businesses can take proactive actions.

We are looking for a data science professional with a proven track record of developing machine learning models to generate a tangible business outcome


Job Description:

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (


NASDAQ:
PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy.

Our open digital payments platform gives PayPal's over 400 million+ active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person.

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.


Role

  • The role offers to develop Machine Learning based automated alerting process which can detect anomalies across merchant & consumer domains along with identifying the root cause so that businesses can take proactive actions.

    We are looking for a data science professional with a proven track record of developing machine learning models to generate a tangible business outcome

Who are you?

  • Data Science professional with a proven track record of developing machine learning models to generate a tangible business outcome
  • Eager to continuously think on how to improve the analytics infrastructure for the team and automate processes wherever possible
  • Professional who can deepdive dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents
  • A strong articulate communicator with business acumen who can work efficiently and effectively with key stakeholders across multiple teams and geographies to define and produce business metrics and insights within a given time frame
  • A persistent person who has the willingness to spend time in an area and become an SME in that domain
  • Someone who pays attention to detail and is intellectually curious to make the extra effort to understand the underlying causes of business trends
  • Adapting quickly and working in a fastpaced environment
  • Lifelong learner who has the inclination to continuously learn new skills, is comfortable with ambiguity and can produce high quality, errorfree business analyses with mínimal oversight

Basic Qualifications

  • Strong SQL & Python skills to manipulate and extract data
  • Prior work experience in delivering anomaly detection solutions
  • Tech stack could be anything within the data science realm
  • Experience with ML platforms such as Tensorflow, PyTorch, etc.
  • Indepth handson Individual Contributor experience in building Machine Learning (ML) and Time Series Forecasting Models
  • Exposure to handle large datasets
  • Experience in Data Engineering Skills, Shell scripting experience, Work experience in Hadoop, Spark, Sparksql, Scala will be considered as a plus
  • Business Acumen to produce relevant metrics and insights. Fintech Domain background will be a plus
  • Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities is a musthave
- ~3 years of data science experience with a bachelor's degree in Computer Science, Engineering, Business, Statistics, or a related field


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.


Who We Are:


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

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