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You will be updated with latest job alerts via emailSenior Data Scientist will be a key member of the team responsible for turning raw data into actionable insights that drive business. The role will leverage analytical skills to uncover trends identify opportunities and support strategic decisionmaking.
Key Responsibilities:
Data Analysis:
Conduct indepth analysis of large datasets to identify patterns trends and anomalies
Develop and implement data mining techniques to extract valuable information
Create and maintain data visualizations (e.g. dashboards charts) to communicate findings effectively
Data Modeling:
Build and maintain data models to represent complex business processes and relationships
Develop predictive models to forecast future outcomes and trends
Reporting Create comprehensive reports and presentations to communicate findings to stakeholders at all levels
Collaborate with business teams to understand their needs and provide tailored insights
Data Governance: Ensure data quality integrity and security by implementing data governance standards and best practices
Contribute to the development and maintenance of data infrastructure and tools
Qualifications :
Qualifications:
Bachelors degree in Statistics Computer Science Economics Business Analytics or a related field Masters degree preferred.
5 years of experience as a data analyst or a similar role
Strong proficiency in SQL Python or R for data manipulation and analysis
Experience with data visualization tools (e.g. Tableau Power BI)
Knowledge of data warehousing and data modeling concepts
Excellent problemsolving and analytical skills
Strong communication and interpersonal skills
Ability to work independently and as part of a team
Additional Information :
Workplace
Public Storage is an equal opportunity employer and embraces diversity. We do not discriminate on the basis of race color religion sex sexual orientation gender identity national origin age disability or any other protected status. All qualified candidates are encouraged to apply.
Remote Work :
No
Employment Type :
Fulltime
Full-time