About Job

CTC Undisclosed Job Location Canada Experience 8 - 11 yrs

Description

The Oracle DataFox team is looking for a Senior Data Scientist to help us build the premier Company intelligence Platform powering recommendations and insights on top of high quality company data. This is a unique opportunity to build innovative machine learning products in the Oracle Cloud that power the world's largest businesses.

Detailed Description:

The ideal candidate is expected to have a bias for action, strong experience in Data Science & Machine Learning and to be comfortable closely collaborating with other teams such as Engineering and Product Management. Among other things candidates will be expected to be able to:

Pull data from various sources and present analyses to non-technical and technical stakeholders

Build ML models using customer data and select the appropriate and most efficient algorithm for the given problem

Work with engineering team to put ML models into production and deliver world class AI applications

Job Requirements:

We are looking for brilliant individuals who are eager to learn and grow with a strong machine learning background and a proven track record of designing and developing production systems.

Proven expertise or background in one or more of the following:

NLP

Finance/Economics

Role Description

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.

Qualifications

MS/PhD in Mathematics, Statistics, Computer Science, or other quantitative fields OR Bachelor's Degree with 3 years of hands-on experience in a data science role.

Demonstrated track record of starting and leading interdisciplinary research and engineering projects.

Strong communication skills and values building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.

Working knowledge of NLP concepts such as named entity recognition, word embeddings, etc.

Extensive experience coding and building solutions using Python.

Extensive experience with statistical packages such as spaCy, scikit-learn, etc.

Working knowledge of Docker and Kubernetes.

Ability to dig-in, understand the data, and to use creative thinking and problem-solving skills to design scalable and robust solutions.

This is a great opportunity, come join us!

Detailed Description and 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.