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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
Our Benefits:
Any general requests for consideration of your skills, please
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