As a Senior Data Scientist (Data Scientist III) you'll be developing cutting edge statistical methodology in a high performance computing environment. This requires collaborating with researchers, software engineers, and external partners to understand relevant business needs, optimize performance, and provide accurate first-in-industry techniques to quantify media effectiveness. Providing thought leadership in the development of new statistical methodology. Effectively communicating with Product Management, Engineering, and senior business leaders to facilitate broader analytics understanding. Researching and prototyping new causal and non-causal inference methodology for measuring campaign effectiveness. For example, Building a complex modeling frameworks to explain trends and predict outcomes. Developing post-hoc causal inference measurement solutions. Identifying opportunities for improvement across our digital and offline marketing ecosystem. Serving as a resource for other data scientists as methodology is developed and deployed. Skills and qualifications:
Primary responsibilities will include:
Our management team is looking for a qualified candidate who will be energized by the dynamics of an entrepreneurial work environment. If you thrive on change, run with new challenges, and you're interested in what you've read so far, you have the qualities we're looking for in a candidate. Here's a summary of the skills that will provide success in this position:
MS in Statistics, Biostatistics or related field with 5 years of experience or a PhD in Statistics with 1-3 years experience. 5 years experience working with 'big data'. Marketing analytics and causal inference experience is a big plus. Expertise with a statistical analysis software package (R or Python). Experience with other big data tools (SQL, Hive, Hadoop, etc.). The desire to continually learn and test your own boundaries. Ability to thrive in a fast paced, and dynamic work environment. Exceptional problem solving skills with unrelenting focus on practical business implications.
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.
Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Job duties are varied and complex utilizing independent judgment. May have project lead role. 5 years relevant work experience. BS/BA preferred.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.
A little about us:
Oracle is shifting the complexity from IT, moving it out of the enterprise by engineering hardware and software to work together—in the cloud.