Brief Description:
Oracle Adaptive Intelligence team is seeking for a Senior Data Scientist that want to help us build the next generation of the Adaptive Intelligence Applications using Oracle Cloud.
This is a unique opportunity to make a change, learn and have fun in a fantastic Artificial Intelligence team in the Czech Republic with a world class culture, and the mission to deliver outstanding applications to the world.

The applications will use data from Oracle’s Data Cloud from multiple tenants and other sources to drive automated outcomes in a number of horizontal and vertical application segments. This is an exciting emerging venture for Oracle, leveraging latest technology in the mobile, big data and cloud application spaces.

 

Detailed Description:
The ideal candidate is expected to have a bias for excellence, strong experience in Data Science & Machine Learning (3-6 years) and be comfortable with closely collaborating with other teams in Oracle such as engineering, OCI & Fusion Cloud operations. Among other things the selected candidate will be: 

• Expected to fetch information from various sources and generate value for better understanding the data to non-technical and technical stakeholders
• Generate ML models based in such data and develop or select the appropriate and most efficient algorithm for the given problem
• Work with engineering team to ensemble such models and deliver world class AI applications

 

Job Requirements:
We are seeking for brilliant individuals in eager to learn and grow, with strong Data Science background and proven track designing and developing systems to action on big data sources; but specially with passion and drive to make a change and have a meaningful role in our org.

 

Job Responsibilities

• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation in Production
• Partner closely with other data scientists and data engineers to help inform, build, and test hypotheses delivering actionable insights
• Apply understanding of advanced machine learning practices to enhance product performance
• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver products
• Facilitate data-driven and informed decision making and prioritization
• Translate business questions into actionable research
• Have a good understanding of general business trends and directions to be able to put your own work in the broad business context
• Work closely with the Product Development team members in North America and EMEA
• Work closely with the Fusion AI Apps Development and Operations teams in the USA to understand their requirements and translate it into backlog stories or address them as needed.
• Develop software using Agile methodologies and participate as a member of scrum development teams

 

Qualifications                                                           

• MS/PhD in Mathematics, Statistics, Computer Science, or other quantitative fields
• 4-7 years of hands-on technical experience in a data science role
• Working knowledge of NLP such as entity recognition, embedding models, semantic models, etc.
• Experience in delivering data science solutions in multiple tenancies is a plus
• Extensive experience coding and building solutions using Python
• Extensive experience with statistical packages such as scikit-learn, spaCy, NumPy, etc.
• Working knowledge of Docker and Kubernetes
• Experience exploring large amounts of information, extracting insights, and achieving real-world results
• Ability to dig-in, understand the data, and to use creative thinking and problem-solving skills to design scalable and robust solutions
• Demonstrated track record of starting and leading interdisciplinary research and engineering projects
• Strong communication skills and value building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms

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.

Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. 8 years relevant work experience. BS/BA 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).