Experimentation Data Scientist (Associate) - Chase UK

Join JPMorganChase as an Experimentation Data Scientist within the International Consumer Bank (Chase UK), where you'll use your statistical and analytical skills to support stakeholders across the business. 

As an Experimentation Data Scientist within the International Consumer Bank (Chase UK), you will collaborate with product and marketing stakeholders to design and analyse A/B tests, promote decision-making through bespoke analysis, and foster a culture of experimentation. Establish yourself as a trusted advisor, quantifying the value of changes to enhance the customer experience. You will apply statistical methods to conduct robust analysis and present actionable recommendations. You will support exploration of new technologies and educate stakeholders in experimentation best practices.
 

Job Responsibilities:

• Collaborate with key product and marketing stakeholders to understand business problems, formulate hypotheses, and design A/B experiments.
• Apply statistical methods to conduct robust analysis and determine the significance of experiment results.
• Work with other Data teams to summarize and synthesize data, presenting actionable recommendations to the business.
• Support ongoing exploration of new technology and techniques through proof of concept projects.
• Educate stakeholders in experimentation best practices.

Required Qualifications, Capabilities, and Skills:

• Ability to translate technical/statistical results into actionable business recommendations; excellent written and verbal communication skills.
• Excellent analytical and logical thinking to understand and analyze complex business problems.
• Self-starter with strong stakeholder and project management skills.
• Strong interpersonal skills to forge partnerships with product managers, engineers, UX designers, and fellow data scientists.
• Strong background in advanced statistics and big data.
• Strong SQL skills, with the ability to write complex queries.
• Experience using Python for data analysis.
• Team player with commitment and dedication, maintaining a positive attitude and high performance on high-profile/time-sensitive experiments.

Preferred Qualifications, Capabilities, and Skills:

• Familiarity with machine learning concepts and its application.
• Familiarity with experimentation vendors like Optimizely, StatSig, Split.IO.

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