Data Scientist, Analytics - Information Researcher at Amazon (Louisiana, USA) - $27/Hour
Unlock Your Career Potential as a Data Scientist, Analytics at Amazon
Join Amazon's dynamic team in Louisiana, USA, as a Data Scientist, Analytics, and be part of shaping the future of the company's business insights and decision-making processes. As an Information Researcher in the Insights team, you will play a crucial role in driving business growth and success by providing data analysis and support to various stakeholders across the organization.
About Amazon and the Role
Amazon is a multinational technology and e-commerce company that has revolutionized the way people shop, work, and live. With a strong presence in various industries, including cloud computing, digital streaming, and artificial intelligence, Amazon continues to innovate and push boundaries. As a Data Scientist, Analytics, you will be an integral part of the Insights team, working closely with stakeholders to drive business outcomes and inform strategic decisions.
Key Responsibilities
Collaborate with stakeholders from various teams to guide them towards better decision-making using available data.
Drive data and insights through effective communication with partners and teams, ensuring that all stakeholders can utilize insights to drive business forward.
Maintain a customer-centric focus while being a domain and product expert through data, fostering trust among peers and ensuring that teams and projects have access to data-driven insights.
Manage ambiguous issues and adapt tools to address complex questions, identifying trade-offs between speed and quality of various approaches.
Develop logical frameworks to measure team success by collaborating with teams to establish progress metrics, create approaches to track data and analyze errors, and measure and evaluate data to develop a common language for all stakeholders.
Operationalize data processes to provide partners with ad-hoc analysis, automated dashboards, and self-service reporting tools, ensuring that everyone has a clear understanding of the business's state.
Essential Qualifications
3+ years of domain experience in a consumer web business or a high-growth, high-development product or team.
Expert SQL skills and proficiency in Python/R.
Experience using data to drive business outcomes and create insights.
Familiarity with data analysis and communication around data, including time series analysis, experimentation, data visualization, and defining KPI strategy for your business.
Excellent collaboration skills with the ability to maintain relationships.
Bachelor's degree in a relevant field.
Preferred Qualifications
Passion for online communities, gaming, and Twitch.
Experience in Operational Excellence, defining metrics, and analysis reporting.
Experience working with software development and operational event data.
Experience with machine learning techniques, such as logistic regression, decision trees, and neural networks.
What Amazon Offers
Amazon is committed to providing its employees with a comprehensive benefits package that supports their overall well-being and career growth. Some of the benefits that Amazon has offered to its employees in the past include:
Health insurance: Medical, dental, and vision insurance for eligible employees and their families.
Retirement savings: 401(k) plan with company match to help employees save for their retirement.
Stock options: Opportunity to receive stock options or grants, allowing employees to become partial owners of the company.
Paid time off: Paid vacation days, sick leave, and other types of paid time off.
Employee discounts: Discounts on Amazon products and services.
Training assistance: Tuition assistance programs to support employees pursuing higher education or skill development.
Career advancement opportunities: Opportunities for professional growth within the company.
Parental leave: Parental leave benefits to support employees during significant family events.
Wellness programs: Wellness programs and resources to promote employees' well-being.
Flexible work arrangements: Flexible work options, including remote work arrangements.
Employee Assistance Program (EAP): Confidential counseling and support services for employees and their families.
Why Join Amazon?
By joining Amazon as a Data Scientist, Analytics, you will have the opportunity to work with a talented team of professionals, drive business growth, and shape the future of the company. With a comprehensive benefits package, flexible work arrangements, and opportunities for career advancement, Amazon is an ideal place to build a rewarding and challenging career.
Take the Next Step
If you are a motivated and data-driven professional looking to take your career to the next level, we encourage you to apply for this exciting opportunity. As a Data Scientist, Analytics at Amazon, you will be part of a dynamic team that is shaping the future of business insights and decision-making. Don't miss this chance to join Amazon and be part of something truly innovative and impactful.
Apply Now
Apply Now
Join Amazon's dynamic team in Louisiana, USA, as a Data Scientist, Analytics, and be part of shaping the future of the company's business insights and decision-making processes. As an Information Researcher in the Insights team, you will play a crucial role in driving business growth and success by providing data analysis and support to various stakeholders across the organization.
About Amazon and the Role
Amazon is a multinational technology and e-commerce company that has revolutionized the way people shop, work, and live. With a strong presence in various industries, including cloud computing, digital streaming, and artificial intelligence, Amazon continues to innovate and push boundaries. As a Data Scientist, Analytics, you will be an integral part of the Insights team, working closely with stakeholders to drive business outcomes and inform strategic decisions.
Key Responsibilities
Collaborate with stakeholders from various teams to guide them towards better decision-making using available data.
Drive data and insights through effective communication with partners and teams, ensuring that all stakeholders can utilize insights to drive business forward.
Maintain a customer-centric focus while being a domain and product expert through data, fostering trust among peers and ensuring that teams and projects have access to data-driven insights.
Manage ambiguous issues and adapt tools to address complex questions, identifying trade-offs between speed and quality of various approaches.
Develop logical frameworks to measure team success by collaborating with teams to establish progress metrics, create approaches to track data and analyze errors, and measure and evaluate data to develop a common language for all stakeholders.
Operationalize data processes to provide partners with ad-hoc analysis, automated dashboards, and self-service reporting tools, ensuring that everyone has a clear understanding of the business's state.
Essential Qualifications
3+ years of domain experience in a consumer web business or a high-growth, high-development product or team.
Expert SQL skills and proficiency in Python/R.
Experience using data to drive business outcomes and create insights.
Familiarity with data analysis and communication around data, including time series analysis, experimentation, data visualization, and defining KPI strategy for your business.
Excellent collaboration skills with the ability to maintain relationships.
Bachelor's degree in a relevant field.
Preferred Qualifications
Passion for online communities, gaming, and Twitch.
Experience in Operational Excellence, defining metrics, and analysis reporting.
Experience working with software development and operational event data.
Experience with machine learning techniques, such as logistic regression, decision trees, and neural networks.
What Amazon Offers
Amazon is committed to providing its employees with a comprehensive benefits package that supports their overall well-being and career growth. Some of the benefits that Amazon has offered to its employees in the past include:
Health insurance: Medical, dental, and vision insurance for eligible employees and their families.
Retirement savings: 401(k) plan with company match to help employees save for their retirement.
Stock options: Opportunity to receive stock options or grants, allowing employees to become partial owners of the company.
Paid time off: Paid vacation days, sick leave, and other types of paid time off.
Employee discounts: Discounts on Amazon products and services.
Training assistance: Tuition assistance programs to support employees pursuing higher education or skill development.
Career advancement opportunities: Opportunities for professional growth within the company.
Parental leave: Parental leave benefits to support employees during significant family events.
Wellness programs: Wellness programs and resources to promote employees' well-being.
Flexible work arrangements: Flexible work options, including remote work arrangements.
Employee Assistance Program (EAP): Confidential counseling and support services for employees and their families.
Why Join Amazon?
By joining Amazon as a Data Scientist, Analytics, you will have the opportunity to work with a talented team of professionals, drive business growth, and shape the future of the company. With a comprehensive benefits package, flexible work arrangements, and opportunities for career advancement, Amazon is an ideal place to build a rewarding and challenging career.
Take the Next Step
If you are a motivated and data-driven professional looking to take your career to the next level, we encourage you to apply for this exciting opportunity. As a Data Scientist, Analytics at Amazon, you will be part of a dynamic team that is shaping the future of business insights and decision-making. Don't miss this chance to join Amazon and be part of something truly innovative and impactful.
Apply Now
Apply Now