JPMorgan Senior Data Scientist- Experimentation 

United Kingdom, England, London 

729930422

Job responsibilities:

• Collaborate with key stakeholders, product and marketing partners to understand the business problem, designing A/B experiments, defining hypotheses and driving the analysis
• Help the LOB stakeholders innovate through data-driven decisioning by analyzing data from diverse data sources to create rich insights that enable better decision-making
• Work with other Data teams and multi-task on projects to summarize and synthesize data and present recommendations to the businesses in a clear and logical manner
• Identify unexplored data opportunities for the business to unlock and maximize the potential of digital data within the organization
• Support ongoing technology evaluation process and proof of concept projects
• Educate stakeholders in experimentation best practices.

Required qualifications, capabilities and skills:

• Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills
• Strong stakeholder and project management skills
• Distinctive problem-solving skills and impeccable business judgment
• Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data
• Self-starter who can provide insights and drive results in a dynamic and fast evolving environment
• Strong interpersonal skills, able to forge fruitful partnerships with product managers, engineers, UX designers and fellow data scientists
• Experience with advanced statistics and big data
• Experience with SQL with a strong ability to write complex queries to extract information arrive at an answer
• Competent in data analysis in Python/R.

Preferred qualifications, capabilities and skills

• Familiarity with machine learning concepts and its application
• Familiarity Incrementality Testing/Geo Testing/Media Mixed Modelling
• Familiarity with experimentation vendors like Optimizely, StatSig, Split.IO etc.