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Quality Analytics Data Scientist Jobs in Washington

Decision Scientist - Staffing, Reporting And Data Analytics
By Starbucks At Seattle, WA, United States
Years of experience in specific field or utilizing designated skills: Minimum 1 years’ Experience
Education: BA/BS with preferred concentration discipline in Stats, Math, Comp Sci, Engineering, Econ, Psychology, Quantitative Social Science or similar
Skills: Ability to handle and maintain the confidentiality of highly sensitive information
Demonstrated experience with Microsoft Office, including PowerPoint
Working knowledge of statistics (descriptive, regression, etc.)
Business experience with several data visualization tools (e.g., Tableau, Power BI)
Data Scientist Ii, Product Analytics
By Expedia Group At Seattle, WA, United States
Work with multiple stakeholders, manage product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies
2+ years of experience in data mining, statistical modelling and business analysis
Bachelor’s or Master's in an analytical field (STEM); or equivalent related professional experience
Advanced degrees/qualifications in the above are a plus but not essential
Experience with data sciences tools such as SQL, R, Python, and Excel experience is required
Experience with digital analytics tools i.e. Adobe Analytics, and experience with BI tools i.e. Tableau, Power BI

Are you a data scientist looking for an exciting opportunity to use your skills to make an impact? We are looking for a Quality Analytics Data Scientist to join our team and help us uncover insights from our data to improve our products and services. You will be responsible for developing and deploying predictive models, analyzing data to identify trends and patterns, and creating visualizations to communicate results. If you are passionate about data and have a knack for problem-solving, this could be the perfect job for you!

Overview Quality Analytics Data Scientist is a professional who is responsible for developing and implementing data-driven solutions to improve the quality of data and analytics. They use their expertise in data science, analytics, and machine learning to identify and address data quality issues. They also develop and maintain data-driven models to improve the accuracy and reliability of data and analytics. Detailed Job Description Quality Analytics Data Scientists are responsible for developing and implementing data-driven solutions to improve the quality of data and analytics. They use their expertise in data science, analytics, and machine learning to identify and address data quality issues. They also develop and maintain data-driven models to improve the accuracy and reliability of data and analytics. They analyze data to identify patterns, trends, and correlations, and develop predictive models to forecast future outcomes. They also develop and maintain data-driven dashboards and reports to monitor data quality and analytics performance. Job Skills Required
• Expertise in data science, analytics, and machine learning
• Knowledge of data quality and analytics best practices
• Ability to analyze data to identify patterns, trends, and correlations
• Ability to develop predictive models to forecast future outcomes
• Ability to develop and maintain data-driven dashboards and reports
• Ability to communicate effectively with stakeholders
• Ability to work independently and collaboratively
Job Qualifications
• Bachelor’s degree in computer science, mathematics, statistics, or a related field
• 5+ years of experience in data science, analytics, and/or machine learning
• Proficiency in programming languages such as Python, R, and SQL
• Knowledge of data visualization tools such as Tableau and Power BI
• Knowledge of data quality and analytics best practices
• Knowledge of machine learning algorithms and techniques
Job Knowledge
• Knowledge of data science, analytics, and machine learning
• Knowledge of data quality and analytics best practices
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of data visualization tools such as Tableau and Power BI
• Knowledge of machine learning algorithms and techniques
Job Experience
• 5+ years of experience in data science, analytics, and/or machine learning
• Experience developing and implementing data-driven solutions
• Experience analyzing data to identify patterns, trends, and correlations
• Experience developing predictive models to forecast future outcomes
• Experience developing and maintaining data-driven dashboards and reports
Job Responsibilities