Staff Machine Learning Engineer

GDS is looking for an experienced Machine Learning Scientist with a passion to solve interesting problems in Consumer product and marketing domains. We leverage the state of the art machine learning techniques to solve very challenging and impactful business problems and drive the key KPIs for the company Meet our team PayPal is a global leader in online payments and democratization of financial services, providing payment solutions for hundreds of millions of customers all over the world. As a Machine Learning Scientist in PayPal’s Global Data Science organization, you will have the opportunity of making use of PayPal's big data platform to develop advanced machine learning solutions to solve sophisticated problems in the domain of Product and Marketing solutions leveraging your data and machine learning skills. This role offers a unique opportunity to innovate and improve PayPal’s data science and machine learning capabilities for better customer experience.

Your way to impact

The role is central to PayPal’s key Machine Learning models in the Product and marketing domain. As a ML scientist, you will work on state-of-the-art models to improve customer experience, Optimize ROI of marketing campaigns, detect abuse in marketing campaigns and other interesting problems in Ranking and recommendations which directly impact the company’s top and bottom lines

Your day to day

As a Machine Learning Scientist you will be responsible for:

• Developing state-of-the-art Machine Learning solutions to solve impactful business problems
• Working with partners to formulate business challenges into data science and machine learning problems and recommend actionable insights for solutions delivered 
• Productionalizing and automating large scale end-to-end data solutions in close collaboration with our engineering teams
• Mentor other team members and provide technical leadership for a domain in the team
• Collaborate with several teams and organizations to drive the development and adoption of solutions

What do you need to bring-

• Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 6+ yrs. of relevant industry experience or PhD with 4+ yrs. of relevant experience
• Experience in any one of Recommendation, Ranking, Product and Marketing domains a big plus
• Proficient in one or more programming languages such as Python, Java, Scala, SQL, Hive,  etc.  
• Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch
• GCP/Hadoop and big data experience – an advantage
• Experience leading ML projects and great track record delivering solutions with attention to detail and efficiency
• Expertise in at least one of the following ML domains (Deep learning, reinforcement learning, graph modeling, Learning to Rank, Recommendations, growth marketing models, Regression modeling)
• Experience shipping Realtime models a big plus
• Leverage indirect influence with stakeholders and others in the organization to drive change
• Fluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insights

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.