Data Scientist at Oracle (Tel Aviv-Yafo, Israel)

Oracle Data Cloud Israel
In our data science group, we work on multiple machine learning problems concerning online marketing and advertisements.
We are currently initiating an exciting new project - detection of non-human traffic, e.g. - bots with malicious intent of illegitimately increasing revenue from ads. To detect this activity in the massive amounts of data - this project would include graph based methods, time series prediction, advanced classification, and all other tools that we can think of to assist in this task.
We are looking for someone who is up to the challenge to join our team of experts.

Key Responsibilities
The position includes research, design, and implementation of a system for detection and prediction of non-human traffic; utilizing state of the art academic techniques for advanced data mining and prediction; develop methodologies and systems that continuously learn, evaluate, and improve the results of this product.

Requirements
• M.Sc or excellent B.Sc. degree in Computer Science, Math, Statistics, Physics or related fields
• Previous experience solving data related problems using machine learning, advanced algorithms, or graph analysis and processing techniques
• Proven ability to research, design and implement algorithms that solve real world problems at scale relying on state of the art academic research

Advantage points:
• Strong software engineering and algorithmic background
• Experience working with relevant datasets
• Experience and knowledge of Big Data processing, using tools such as Spark
• Ph.D in Computer Science, Math, Statistics, Physics or relevant fields

Location: Azrieli Center, Tel-Aviv.
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 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).

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).

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