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Quality Analytics Data Scientist Jobs in California

Data Scientist, Buyer Success Analytics
By eBay At San Jose, CA, United States
E-commerce experience and customer segmentation knowledge a plus.
Strong technical skills to turn big data into concrete insights with hands-on ability in using SQL, R, Python, Tableau, etc.
Proven track record of turning insights into product growth opportunities in prior roles with increasing scope and responsibilities.
Great articulation and communication skills - ability to explain complex analyses and insights into simple terms
Strong background in ecommerce product experience
Strong quantitative background with 2-3 years experience and a Bachelor’s degree in Computer Science, Math, Economics, Physics, Engineering. Master’s degrees preferred
Staff Data Scientist, Analytics
By Airwallex At San Francisco, CA, United States
7+ years industry experience and an advanced degree in a quantitative field
Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
Experience in technology, financial services and/or a high growth environment is advantageous
Ability to perform statistical analysis to drive data-informed decisions
Jr. Data Scientist, Minerva Analytics
By Amazon.com Services LLC At , San Diego Up to $75.63 an hour
Currently enrolled in an accredited college or university Bachelor's degree program.
Majoring in Data Science, Computer Science, or a related STEM discipline.
Graduation date falls between December 2024 and June 2026.
Ability to work year-round: part-time during the school year and full-time during the summer.
Living within commutable distance to San Diego, CA.
Effectively articulate technical challenges and solutions.
Data Scientist / Quality Engineering Lathrop
By Tesla At Lathrop, CA, United States
Work with management to prioritize business and information needs
Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
Extensive experience writing software with Python
Experience with multiple data architecture paradigms (e.g. SQL, NoSQL, Kafka, Spark)
Experience and interest in frontend development, preferably with the Javascript React framework
Knowledge of various data communication protocols (e.g. REST API, Websockets)
Data Scientist, Analytics Jobs
By Airtable At Los Angeles, CA, United States
Manage the design and analysis of experiments; develop and socialize a rigorous culture of experimentation throughout the entire company.
You have 6+ years previous experience as a data scientist, data analyst, or data engineer
You have strong knowledge of statistics and experimental design.
Partner with sales teams to help drive insights, identify opportunities, and understand behavior and long-term trends.
Take a leading role in producing new datasets that unlock business opportunities.
Play a foundational role in building a data culture at Airtable through reproducible work, improved processes, and better tooling.

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