Welcome to Oracle, a leading technology company at the forefront of innovation. We are seeking a highly skilled and experienced Data Scientist 4 to join our dynamic team. As a Data Scientist at Oracle, you will have the opportunity to work with cutting-edge technologies and solve complex business problems for our clients. We are looking for someone who is passionate about data and has a deep understanding of statistical analysis, machine learning, and data mining techniques. If you are a driven, analytical thinker with a strong background in data science, we want to hear from you.
- Conduct data analysis and provide insights to support business decision making.
- Develop and implement machine learning models and algorithms to solve complex business problems.
- Collaborate with cross-functional teams to identify business needs and design data-driven solutions.
- Stay up-to-date with the latest developments and trends in data science and technology.
- Clean, organize, and manipulate large datasets to extract meaningful information.
- Communicate complex findings and technical concepts in a clear and concise manner to non-technical stakeholders.
- Continuously evaluate and improve existing models to ensure accuracy and effectiveness.
- Develop data visualizations and dashboards to effectively present findings and recommendations.
- Conduct research and experiments to identify new data sources and methods for data analysis.
- Mentor and provide guidance to junior data scientists and analysts.
- Adhere to data privacy and security regulations while handling sensitive information.
- Collaborate with data engineers to ensure data integrity and availability.
- Participate in project planning and provide estimates for data science tasks.
- Document and maintain proper record of data science processes, methods, and findings.
- Represent Oracle as a subject matter expert in data science at conferences and industry events.
Strong Data Analysis Skills: A Data Scientist 4 At Oracle Should Possess Advanced Skills In Data Analysis, Including The Ability To Manipulate And Interpret Large Datasets, Identify Patterns And Trends, And Draw Insightful Conclusions.
Proficiency In Programming And Statistical Tools: The Ideal Candidate Should Be Well-Versed In Programming Languages Such As R, Python, And Sql, As Well As Statistical Tools Like Sas And Spss. They Should Have The Ability To Write Complex Algorithms And Build Predictive Models.
Experience With Machine Learning And Ai: A Data Scientist 4 At Oracle Should Have A Deep Understanding Of Machine Learning And Artificial Intelligence Techniques, Including Supervised And Unsupervised Learning, Natural Language Processing, And Neural Networks.
Business Acumen: Along With Technical Skills, A Data Scientist 4 Should Have A Strong Business Acumen To Understand The Needs And Goals Of The Company And Use Data To Drive Business Decisions. They Should Be Able To Communicate Complex Data Insights To Non-Technical Stakeholders.
Advanced Degree In Data Science Or Related Field: A Data Scientist 4 Should Have A Master's Or Ph.d. Degree In Data Science, Computer Science, Statistics, Or A Related Field. This Degree Should Be Supplemented With Relevant Work Experience In The Field Of Data Science.
Programming
statistical analysis
Database Management
Machine Learning
Data Manipulation
Data Visualization
Natural language processing
Data Mining
Predictive modeling
Problem-Solving
Big Data Analytics
Communication
Conflict Resolution
Leadership
Time management
creativity
Teamwork
Adaptability
Problem-Solving
Empathy
Decision-making
According to JobzMall, the average salary range for a Data Scientist 4 in Seattle, WA, USA is $127,000 - $168,000 per year. This may vary based on the individual's level of experience, education, and the specific company they are working for.
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Oracle Corporation is an American multinational computer technology corporation headquartered in Redwood Shores, California. The company sells database software and technology, cloud engineered systems, and enterprise software products—particularly its own brands of database management systems.

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