Company Name:-
Oracle

Job Location:-
Hyderabad, Telangana

Job Summary:-
Oracle CX Marketing is an integrated portfolio of digital marketing solutions that help B2B and B2C marketers use real-time intelligence and customer signals to deliver personalized experiences.

As a Senior Data Scientist, you will be working closely with various engineering and product leaders to innovate and build best in class AI/ML features across the entire portfolio of products.

In this role, you will be doing a blend of traditional data science work and big data/software engineering.

Our responsibility is to build scalable, cost-conscious, stable, repeatable, and accurate machine learning and ETL pipelines in a cloud environment.

This work may span all aspects of the data science and software development lifecycle.

Role:
Research and develop analysis, modeling, and optimization methods to improve the AI in Oracle CX Marketing products.

Participate in cutting edge research in machine intelligence and machine learning applications in enterprise marketing cloud.

Work with large, complex data sets.

Solve difficult, non-routine analysis problems, applying advanced ML methods as needed.

Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

Provide recommendations on our ML and experimentation roadmap, proposing what to study and to develop to bring ML methods to scale at Oracle CX.

Develop the experimentation platform by researching new methods and conducting rigorous analyses

Mentor other Data Scientists, and help them to develop their projects related to experimentation and evaluation

Provide guidance on statistical, deep learning and machine learning methodological problems across the Oracle CX

Develop solutions for real world, large scale problems.

Implement data science pipelines and applications in a general programming language such as SQL, Python, Scala, or Java, or Spark

Craft a measurement strategy to evaluate the performance of complex systems against challenging requirements
Key Qualifications:
Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).

In-depth knowledge of mach

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