Oracle Consulting Services / Autonomous Data Scientist - Austin, TX - Data Scientist 5 Oracle
Austin, TX

Job Description

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.

Acknowledged authority within the Corporation. Acts as a leader of large-scale company initiatives. Viewed by peers as a leader and top contributor and by line management as a key business partner. 10 plus years experience. BA/BS degree 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.

Oracle Consulting Services / Autonomous Data Scientist - Data Scientist 5 - Austin, TX

Oracle Autonomous Database is a family of products with each member of the family optimized by workload. Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP) are the two products that have been released in 2018.

Autonomous Data Warehouse (ADW) Cloud provides an easy-to-use, fully autonomous data warehouse that scales elastically, delivers fast query performance and requires no database administration. It is designed to support all standard SQL and business intelligence (BI) tools, and provides all of the performance of the market-leading Oracle Database in an environment that is tuned and optimized for data warehouse workloads.

Oracle Autonomous Data Warehouse provides an easy-to-use, fully autonomous database that scales elastically delivers fast query performance and requires no database administration. Clients will use Oracle Cloud services for everything from data management and analytics to adopting or extending a complete software-as-a-service portfolio (SaaS). They will achieve faster time to value; control over regulatory issues, data privacy, and governance; tight integration with network security; and low latency for on-premises applications and data.

Autonomous Transaction Processing (ATP) Oracle Autonomous Transaction Processing delivers a self-driving, self-securing, self-repairing database service that can instantly scale to meet demands of mission critical applications.

Our Data Scientists will work on this amazing new product and be in at the ground floor of working with clients to set up and deliver our Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP) offerings. This would consist of taking an Autonomous Data Warehouse, loading in a customer data extract, and then building out visualizations/analytics based on some use case of the client's choosing.

The Oracle Consulting Services / Autonomous Data Scientist may also be part of a team that will help to define and build out additional Consulting offerings involving Autonomous services, Machine Learning and Artificial Intelligence.

Basic Requirements:

* Bachelor's degree in data science, mathematics, economics, statistics, engineering and information management or related field of study
* 7 years of experience in various statistical and machine learning models, data mining, unstructured data analytics
* 7 years of experience in at least one of the following;
* Supervised and Unsupervised Learning, Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Reliability Models, Markov Models, Stochastic models, Bayesian Models, Deep Learning, Genetic Algorithms, Fuzzy Logic, Inference Systems
* 7 years working and conceptual knowledge in data structures, algorithms, statistics, machine learning, natural language processing and programming in Java, C , Python, R, Octave, Tensorflow, Caffe or Theano or other equivalent languages
* 7 years building and maintaining a large-scale analytics infrastructure used across the business including conducted research, design, implementation, and validation of cutting-edge algorithms to analyze diverse data sources
* 7 years technical project management of data science driven projects and data science professionals developing and delivering machine learning models that work in a production setting
* 3 years of working and conceptual knowledge in Data Science/Analytics, including hands on experience handling data driven decisions

Preferred Qualifications

* Preferred Masters or Ph.D. (Computer Science, Statistics, Engineering, Physics, Mathematics, Economics, Industrial/Organizational Psychology or Social Science)
* Familiarity with relational databases and intermediate level knowledge of SQL
* Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc.
* Experience working with large data streaming technologies like Spark, Flink, etc.
* Proficient verbal, written and presentation skills