Quantitative UX Researcher / Web Analyst

The Oracle Health Design and Human Factors (HF) Research teams are embarking on a brand-new mission to completely reimagine the experience of our healthcare applications, from core EHR to the patient experience and everything in between. As a Data Scientist within the HF team, you will have the unique opportunity of identifying and solving complex healthcare problems across the entire continuum of care. 

You will help establish a Data Science group that applies scientific rigor to understand what our customers and end users are doing in our products, leveraging empirical research methods to extract meaningful patterns from large data sets, visualizing that information in truly cutting-edge ways that is furthering a whole new level of empathy, and scaling our approaches to the daunting breadth of Oracle Health experiences. This Data Science group is embedded within the larger HF Research team, and will partner closely with the qualitative researchers, enabling an integrated viewpoint of both scale and in-depth understanding of customer behaviors. The outcomes from both qualitative and quantitative research will be used to inform product strategy and design, and validate the quality, safety, and usefulness of our products. In short, we are starting a mini revolution of being data and customer obsessed and looking for someone who is excited to join us!

About Oracle Health

At Oracle, we believe we have a moral obligation to leverage our resources, knowledge, and expertise—as well as our successes in other industries—and apply them to health to make a meaningful impact. There's a different level of obligation that comes with driving change in the healthcare industry. As people, we all participate in healthcare. It’s deeply personal. We want you to join us in our commitment to change healthcare! 

Here’s the kind of person we’re looking for:

• You are insatiably curious. You love asking meaningful questions about human behaviors, motivations and challenges. 
• You have extensive knowledge in quantitative user experience research or product analytics
• You are very familiar with Data Science fundamentals (applied statistics, quantitative methodology, and scientific programming)
• You have the ability to turn abstract ideas and underdefined problems into actionable research and project plans
• You have deep empathy and a passion for understanding people’s behaviors, the patterns and the motivations underlying those behaviors and you thrive on evangelizing what you learn. 
• You are organized and detail-oriented. You have several years of experience using your quantitative toolkit to facilitate high quality research, applying the right methods to the right problems, and practice these in real business context. 
• You are driven by impact. You don’t stop until the insights from research are applied to the benefit of our customers and business. 
• You don’t already know everything, and you love to learn from others, new contexts and new challenges. 
• You love to collaborate with designers, user researchers, engineers, product managers, executives, and inspire them to do their best.

Career Level - IC4

Qualifications:

Range and benefit information provided in this posting are specific to the stated locations only

CA: Hiring Range in CAD from: $76,700 to $167,600 per annum.


Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
 

This job requires proficiency in the English language. Oracle is a global company with operations in dozens of countries around the world and our teams, including the team this position is part of, are comprised of individuals located in various jurisdictions. As is required of employees in all jobs at Oracle in North America, candidates for this position are required to understand, and communicate, in English so that in the course of performing their work, they can interact with teammates in other locations who are not fluent in the French language.

Responsibilities:

What will you do as a Principal Data Scientist at Oracle?

• You will investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis
• Develop code and statistical models to identify patterns and trends in user behavior 
• Conduct empirical research using methods from computer science, quantitative social science, statistics, econometrics, and other fields to understand user behavior and extract patterns from data sets
• Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C , Java, or Go)
• Proficiency developing custom reports and advanced segments, and interpreting and presenting findings
• Strong critical thinking skills and a proactive approach to identifying opportunities for optimization and improvement
• Utilize SQL to perform data analysis to extract valuable insights from large data sets like Click stream, transactional data
• Developing effective measurement frameworks and reports for non-technical audiences to enable actionable insights to improve user experience

What skills/abilities/background would you ideally possess? 

• Master's or PhD degree in Computer Science, HCI, Statistics, Informatics, Information Systems, Psychology, or a related field.
• 7-10 years of experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets (especially clickstream data).
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
• Strong evidence of supporting, leading, and working with cross-functional teams in a dynamic environment.
• Advanced knowledge of a common programming language (e.g., Python, Java, Scala, C )
• Proven knowledge with sequence analysis 
• Extensive experience in user or product analytics (especially in an Enterprise setting)
• Experience in one of the following is a plus: NLU/NLP, Data Visualization, developing and evaluating A/B testing pipelines

Salary : $76,700 - $167,600