Data Scientist 2 | Utilities SaaS Analytics
Location:
San Francisco , California
Posted:
January 05, 2017
Reference:
160013PU
Oracle Utilities SaaS Analytics | Data Scientist
Here is your chance to join the world-renowned Oracle Global Solutions force!

For the last 25 years, Oracle has dominated the Database and Business Applications software market. The largest corporations and governments in the world use our market leading products.

Currently, we are recruiting the very best Data Analyst to take Oracle to the next level. Oracle has a track record for employing and developing the very best Data Analyst professionals in the industry. We invest generously in employee development training and Global Solutions resources. Be a part of the most progressive Global Solutions model in the industry.

We are looking for a Data Analyst to join the Analytics team within our Utilities practice. In this role you will work with our talented and growing team of Data Scientists and Data Analysts to plan, execute, and deliver actionable analytic insights to electric, water, and gas utilities through the DataRaker product and its 100TB of cloud-hosted data.

Our analytics team works actively with the client management team to define analyses based on customer needs. We use a combination of technology and platforms such as MySQL, R, Python, and our proprietary tools, to execute these analyses and drive value. Position reports to Lead Data Scientist - DataRaker.

Responsibilities:
• Efficiently execute well-defined, discrete analytic tasks based on the needs of client, as communicated by the client management team;
• Work with client management team and our customers to define and take ownership of scope, intermediate deliverables, and timelines around larger-scale analytic deliverables;
• Work with application management team, and where necessary, other members of the analytics team to efficiently execute larger-scale analytic deliverables and operationalize the results;
• Identify recurring problems and bottlenecks that might be improved through upgrades to our software product, new technologies in the analytics team infrastructure, or further research into statistical methodology.

Preferred Qualifications:
• BA/BS or MS in Computer Science, Mathematics, Statistics, Physics, Economics or other STEM field;
• 2-4 years of professional work experience in a data analytics role involving customer-facing deliverables and internal team coordination;
• Prior experience framing and conducting analyses in a relational database environment (e.g. Oracle DB,MySQL, PostgreSQL, MSSQL) and through spreadsheet-based tools;
• Prior experience with programming languages (e.g. Python, PHP, Ruby, etc.) and statistical programming languages (e.g. R, SAS, SPS, etc.) strongly preferred;
• A passion for and curiosity about new big data analytics technologies and methods;
• Strong written & oral communication skills;
• Prior experience working in complex data environments within the energy and utility industry preferred.

Job Requirements

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.

Work involves some problem solving with assistance and guidance in understanding and applying company policies and procedures. Attention to detail critical. Ability to collect, organize, and display data in spreadsheet format. Follow-through skills necessary to get information from internal and third parties and have data errors/omissions corrected. Strong written and verbal communication skills. 2 years relevant work experience after college required.
Qualifications:
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.

Duties and tasks are standard with some variation. Completes own role largely independently within defined policies and procedures. 2 years relevant experience and BA/BS degree preferred.

Oracle will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco's Fair Chance Ordinance.

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.

Know someone who would be interested in this job? Share it with your network.