Data Scientist Manager at Oracle

Position Responsibilities
 
The Oracle Cloud development is one of the biggest initiatives in the history of Oracle. We are introducing revolutionary SAAS, IAAS and PAAS products to the market place, and because many of these products are being built new, we are experiencing tremendous growth in our cloud storage product development team. Our systems move a huge amount of data and we need you to help build both the internal and external infrastructure to support it.

We are looking for a data science and engineering manager to lead a team of data analysts, scientists and engineers. Our organization is responsible for gathering data from multiple sources, creating automated ETL processes, curating and organizing the data, generating analytics and data science models, and presenting the information to internal and external stakeholders. The analysis of the data includes advanced statistical methods, predictive analytics, and machine learning. The visualization work includes using Data Visualization tools such as Oracle Business Intelligence and Oracle Data Visualization to present the data in a consumable format for mid-level management, executives, and customers.  If this opportunity sounds exciting, look no further and join a growing and dynamic team to help develop a data and analytics based infrastructure in the Oracle Cloud organization. Our team has a start-up feel, but with the stability Oracle gives. 
 
Desired Qualifications:
The ideal candidate will have experience leading a team of data engineers/scientists and guiding them through the entire data lifecycle (from ETL to Visualization). They should have excellent communication skills and be able to create project plans and delegate work elements. They should be comfortable doing a deep dive in the data to understand where it can provide value. In addition, they should understand how to summarize the information and value that the data has via a visualization layer. Specific experience the ideal candidate will demonstrate includes:

• Strong communication skills

• Management or Team lead experience

• Experience with data analysis – basic EDA, stats, and visualization

• Experience with advanced data analysis – advanced statistical methods, predictive analytics

• Experience with data visualizations tools, such as Oracle Business Intelligence, Oracle Data Visualization, Tableau, Microsoft Power BI

• Experience with ETL methodologies (Data acquisition from multiple sources, manipulation, aggregation, and uploads)

• Familiarity with Databases, SQL, Cloud Infrastructure (AWS, Azure, OCI)

• Experience with data science programming languages such as R or Python

Additional Skills Sought:
The successful candidate is expected to demonstrate the following additional requirements:

• 5+ years of experience working in data science projects

• 2+ years of experience as a team lead or manager

• Knowledge of data structures, algorithms

• Scripting knowledge on R or Python

• MS in Computer Science or Data Science 

• MBA preferred

• Knowledge of AWS, Azure, OCI and/or other IaaS environments.

• Knowledge of agile-based iterative development 

Change is good. This change is even better.
If you feel like you’ve hit the ceiling of your current job, join the company whose potential is virtually limitless. Oracle is the global leader in advanced business software, hardware and middleware solutions.  In fact, we help drive the success of all 100 companies in the Fortune 100.  If you’re a highly ambitious sales professional looking for more from your career, we’d like to help drive your success too.

As part of Oracle's employment process candidates will be required to complete a pre-employment screening process, prior to an offer being made. This will involve identity and employment verification, salary verification, professional references, education verification and professional qualifications and memberships (if applicable)

Detailed Description and Job Requirements

 Leads a team of people who design, develop and program 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.

Plans, manages, and controls the activities of a team that interacts with product and service teams to identify questions and issues for data analysis and experiments. Brings expertise or identifies subject matter experts in an effort to integrate and evaluate large datasets from multiple disparate sources. Advises business groups by providing direction to initiative prioritization, integration and resource application. Selects, develops, and evaluates personnel ensuring efficient operation of the function.

Leads a specialized area which may have diverse functional elements. Frequently interacts with supervisors and/or functional peer group managers. May interact with senior management. Demonstrated leadership and people management skills.BA/BS degree preferred.

As part of Oracle's employment process candidates will be required to successfully complete a pre-employment screening process. This will involve identity and employment verification, professional references, education verification and professional qualifications and memberships (if applicable).