
Data Scientist - Enterprise Data & Analytics
Welcome to the University of California- Irvine's Enterprise Data & Analytics team! We are seeking a highly analytical and driven Data Scientist to join our team and help us unlock the power of data for our institution. As a Data Scientist, you will play a critical role in collecting, analyzing, and interpreting data to drive strategic decision-making and improve the overall effectiveness of our operations. We are looking for someone with a passion for data and a strong background in data analytics, statistics, and programming. If you are a data-driven problem solver with a desire to make a meaningful impact in the education sector, we encourage you to apply for this exciting opportunity.
- Collect and analyze large datasets from various sources to identify trends, patterns, and insights.
- Develop and implement data models, algorithms, and statistical techniques to extract meaningful information from data.
- Interpret data and communicate findings to key stakeholders in a clear and concise manner.
- Collaborate with cross-functional teams to understand their data needs and provide data-driven solutions.
- Use programming languages such as SQL, Python, and R to manipulate and analyze data.
- Build and maintain data pipelines to ensure data integrity and accuracy.
- Identify opportunities to improve data collection and analysis processes.
- Stay updated on industry trends and advancements in data science to continuously improve our data capabilities.
- Work closely with other team members to develop and maintain dashboards and other reporting tools for data visualization.
- Develop predictive models and perform statistical analysis to support decision-making processes.
- Communicate complex technical concepts to non-technical team members and stakeholders.
- Document and present data-driven insights and recommendations to leadership.
- Identify and troubleshoot data-related issues and develop solutions to address them.
- Adhere to data privacy and security policies and procedures.
- Participate in team meetings and contribute ideas for improving data management and analysis processes.
Advanced Degree In A Relevant Field: A Data Scientist At University Of California- Irvine Should Have At Least A Master's Degree In A Field Such As Data Science, Computer Science, Statistics, Or Mathematics.
Proficiency In Programming Languages And Tools: The Ideal Candidate Should Have Strong Coding Skills In Languages Such As Python, R, And Sql, As Well As Experience With Data Visualization Tools Such As Tableau Or Power Bi.
Knowledge Of Data Analysis And Modeling Techniques: The Candidate Should Have A Deep Understanding Of Statistical Methods, Machine Learning Algorithms, And Data Mining Techniques To Extract Insights From Large Datasets.
Experience With Enterprise Data And Analytics: The Role Requires Experience In Working With Large And Complex Datasets In An Enterprise Environment, As Well As Knowledge Of Data Governance, Data Quality, And Data Security Best Practices.
Strong Communication And Collaboration Skills: A Successful Data Scientist At Uc Irvine Should Possess Excellent Communication Skills To Effectively Present Complex Data Insights To Non-Technical Stakeholders, As Well As The Ability To Collaborate With Cross-Functional Teams To Drive Data-Driven Decision Making.
Programming
Data Analysis
Database Management
Big Data
Machine Learning
Data Visualization
Data Mining
Statistical modeling
Data cleaning
Predictive analytics
Data wrangling
Data
Communication
Conflict Resolution
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Data Scientist - Enterprise Data & Analytics in Orange, CA, USA is between $90,000 and $150,000 per year. However, this can vary depending on factors such as the specific company, level of experience, and skills of the individual. Some companies may offer higher salaries or additional benefits such as bonuses and stock options. It is important to research and compare salaries for similar positions in the area to get a better understanding of the potential salary range.
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