Posted:
7/2/2024, 5:00:00 PM
Location(s):
Bengaluru, Karnataka, India ⋅ Karnataka, India
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure.
Job Description Summary:
What you need to know about the role- Design and develop state-of-the-art Machine Learning solutions to solve business problems related to PayPal Consumer Marketing lifecycle. Help drive business growth across PayPal’s brands including Venmo.Job Description:
Your way to impact :-
As a Senior Machine Learning Scientist at PayPal, your role directly impacts the business by spearheading the development and implementation of advanced ML solutions.
You will translate business challenges into actionable ML problems.
Your efforts will drive business growth and will influence decision-making, help enhance consumer experience and improve marketing strategies, solidifying PayPal's position at the forefront of AI-driven solutions in fintech
Your day to day :-
As a Machine Learning Scientist you will be responsible for:
Develop and implement state-of-the-art Machine Learning solutions to solve business problems related to PayPal Consumer Marketing lifecycle and address marketing challenges to drive business growth
Collaborating with team and stakeholders to formulate business challenges into ML problems
Design, develop and deploy automated large scale end-to-end ML solutions in close collaboration with our engineering group and PayPal's Platforms organization
Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise
What do you need to bring-
Master’s degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 6+ yrs. of relevant industry experience
Demonstrated record of building and deploying end-to-end ML solutions in a production environment, preferably in marketing or related domains
Experience with Next Best Action recommendation systems, Multi-Arm Bandit algorithms , Propensity, Churn and CV models
Ability to write scalable production-quality code in Python and to design and implement data engineering pipelines using technologies like SQL, BigQuery, or Spark etc.
Hands-on experience with popular ML frameworks and packages such as TensorFlow and PyTorch. GCP/Hadoop and big data experience – an advantage
Experience leading ML projects and great record delivering solutions with attention to detail and efficiency
Experience shipping Realtime models a big plus
Ability to communicate effectively and establish constructive relationship with business and engineering partners
Ability to work effectively both independently and in a team environment
Additional Job Description:
Subsidiary:
PayPalTravel Percent:
0Our 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:
Click Here to learn more about our culture and community.
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. For more information, visit https://www.paypal.com , https://about.pypl.com and https://investor.pypl.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].
Any general requests for consideration of your skills, please Join Our Talent Community.
Website: https://www.paypal.com/
Headquarter Location: San Jose, California, United States
Employee Count: 10001+
Year Founded: 1998
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: E-Commerce Platforms ⋅ FinTech ⋅ Mobile Payments ⋅ Transaction Processing