MTS 2, Machine Learning Engineer

$184,662 - $234,300/Yr

PayPal - San Jose, CA

Full-time - Mid Level

Remote - San Jose, CA

Credit Intermediation and Related Activities

About the position

PayPal is seeking a Machine Learning Engineer (MTS 2) to analyze business objectives and technology stacks, identify inefficiencies, and develop quantitative solutions. The role involves engineering and managing data, executing ETL techniques, and building data science models to provide insights and recommendations that influence business decisions. The position is based in San Jose, CA, with a flexible work environment that allows for telecommuting.

Responsibilities

• Analyze business objectives and technology stacks driving PayPal's sales pipeline.
• Identify technical inefficiencies and perform ideation, research, and development of solutions.
• Engineer, manage, and model data, executing standard ETL techniques.
• Mine, extract, and manipulate large datasets using tools like SQL, SAS, and Hadoop.
• Build data science models to output business insights and viable technical solutions.
• Analyze model results to influence business decisions in a global environment.
• Prepare detailed reports to communicate the impact of data science models to stakeholders.

Requirements

• Master's degree in Data Science, Operations Research, or a closely related field.
• Two years of experience in a related occupation or as a Data Scientist.
• Proficiency in Machine Learning, GCP, SQL, Python, TensorFlow, and A/B Testing.

Nice-to-haves

• Experience with Recommendation Systems and Anomaly Detection.
• Familiarity with Tableau.

Benefits

• Flexible work environment
• Employee stock options
• Health insurance
• Life insurance
• Mental health resources