**Experienced Data Scientist and Analytics Professional – Information Researcher and Investigation Expert for High-Growth Business Development**
Are you an accomplished data professional with a passion for driving business results through data-driven insights? Do you have a strong background in data analysis, machine learning, and data visualization? Are you looking for a challenging and rewarding role that will allow you to make a significant impact on a high-growth business? If so, we may have the perfect opportunity for you!
At Amazon, we are seeking an experienced Data Scientist and Analytics Professional to join our Information Researcher and Investigation team. As a key member of our team, you will be responsible for providing data analysis and support to various business groups, including stage, service, and functional design teams. You will work closely with cross-functional teams to identify business opportunities, develop data-driven solutions, and drive business growth.
**About Amazon**
Amazon is a multinational e-commerce and technology company based in Seattle, Washington, USA. Founded by Jeff Bezos in 1994, Amazon has grown to become one of the world's largest online retailers and a leader in various industries, including cloud computing, virtual streaming, artificial intelligence, and more. Amazon is known for its commitment to innovation, customer obsession, and operational excellence, and we are seeking talented professionals who share these values to join our team.
**Key Responsibilities**
As a Data Scientist and Analytics Professional, you will be responsible for the following key responsibilities:
* **Data Analysis and Support**: Provide data analysis and support to various business groups, including stage, service, and functional design teams.
* **Business Opportunity Identification**: Work closely with cross-functional teams to identify business opportunities and develop data-driven solutions.
* **Data-Driven Decision Making**: Develop and maintain data-driven decision-making frameworks to support business growth and improvement.
* **Data Visualization and Communication**: Develop and maintain data visualizations and communication materials to support business stakeholders.
* **Collaboration and Partnership**: Collaborate with cross-functional teams to develop and maintain partnerships and relationships with key stakeholders.
* **Operational Excellence**: Develop and maintain operational excellence frameworks to support business growth and improvement.
**Essential Qualifications**
To be successful in this role, you will need to have the following essential qualifications:
* **Bachelor's Degree**: A bachelor's degree in a quantitative field, such as mathematics, statistics, computer science, or engineering.
* **3+ Years of Experience**: 3+ years of experience in a data analysis or data science role, preferably in a high-growth business or startup environment.
* **SQL and Python/R Skills**: Strong skills in SQL and Python/R programming languages, with experience in data analysis and machine learning.
* **Data Visualization and Communication**: Strong skills in data visualization and communication, with experience in developing and maintaining data visualizations and communication materials.
* **Collaboration and Partnership**: Strong collaboration and partnership skills, with experience in working with cross-functional teams and key stakeholders.
**Preferred Qualifications**
While the following qualifications are not essential, they are highly preferred:
* **Master's Degree**: A master's degree in a quantitative field, such as mathematics, statistics, computer science, or engineering.
* **Experience with AI and Machine Learning**: Experience with AI and machine learning techniques, such as calculated regression, choice trees, and brain organizations.
* **Experience with Data Warehousing and ETL**: Experience with data warehousing and ETL (Extract, Transform, Load) processes.
* **Experience with Cloud Computing**: Experience with cloud computing platforms, such as Amazon Web Services (AWS) or Microsoft Azure.
**What We Offer**
As a Data Scientist and Analytics Professional at Amazon, you will have the opportunity to work on high-impact projects, collaborate with talented professionals, and develop your skills and expertise in a fast-paced and dynamic environment. We offer a competitive salary and benefits package, including:
* **Clinical, Dental, Vision, and Disability Insurance**: Comprehensive medical, dental, vision, and disability insurance plans for eligible employees and their families.
* **401(k) Plan**: A 401(k) plan with a company match to help you save for your retirement.
* **Adaptable PTO**: Flexible paid time off to support your work-life balance.
* **Employee Discounts**: Discounts on Amazon services and products for eligible employees.
* **Training Assistance**: Training assistance programs to support your professional development and growth.
* **Career Advancement Opportunities**: Opportunities for career advancement and professional growth within the company.
* **Parental Leave**: Parental leave benefits to support you during critical family events, such as the birth or adoption of a child.
* **Wellness Programs**: Wellness programs and resources to support your physical and mental well-being.
* **Flexible Work Arrangements**: Flexible work arrangements, including remote work options, to support your work-life balance.
**How to Apply**
If you are a motivated and talented data professional with a passion for driving business results through data-driven insights, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you!
Apply Now
Apply Now
At Amazon, we are seeking an experienced Data Scientist and Analytics Professional to join our Information Researcher and Investigation team. As a key member of our team, you will be responsible for providing data analysis and support to various business groups, including stage, service, and functional design teams. You will work closely with cross-functional teams to identify business opportunities, develop data-driven solutions, and drive business growth.
**About Amazon**
Amazon is a multinational e-commerce and technology company based in Seattle, Washington, USA. Founded by Jeff Bezos in 1994, Amazon has grown to become one of the world's largest online retailers and a leader in various industries, including cloud computing, virtual streaming, artificial intelligence, and more. Amazon is known for its commitment to innovation, customer obsession, and operational excellence, and we are seeking talented professionals who share these values to join our team.
**Key Responsibilities**
As a Data Scientist and Analytics Professional, you will be responsible for the following key responsibilities:
* **Data Analysis and Support**: Provide data analysis and support to various business groups, including stage, service, and functional design teams.
* **Business Opportunity Identification**: Work closely with cross-functional teams to identify business opportunities and develop data-driven solutions.
* **Data-Driven Decision Making**: Develop and maintain data-driven decision-making frameworks to support business growth and improvement.
* **Data Visualization and Communication**: Develop and maintain data visualizations and communication materials to support business stakeholders.
* **Collaboration and Partnership**: Collaborate with cross-functional teams to develop and maintain partnerships and relationships with key stakeholders.
* **Operational Excellence**: Develop and maintain operational excellence frameworks to support business growth and improvement.
**Essential Qualifications**
To be successful in this role, you will need to have the following essential qualifications:
* **Bachelor's Degree**: A bachelor's degree in a quantitative field, such as mathematics, statistics, computer science, or engineering.
* **3+ Years of Experience**: 3+ years of experience in a data analysis or data science role, preferably in a high-growth business or startup environment.
* **SQL and Python/R Skills**: Strong skills in SQL and Python/R programming languages, with experience in data analysis and machine learning.
* **Data Visualization and Communication**: Strong skills in data visualization and communication, with experience in developing and maintaining data visualizations and communication materials.
* **Collaboration and Partnership**: Strong collaboration and partnership skills, with experience in working with cross-functional teams and key stakeholders.
**Preferred Qualifications**
While the following qualifications are not essential, they are highly preferred:
* **Master's Degree**: A master's degree in a quantitative field, such as mathematics, statistics, computer science, or engineering.
* **Experience with AI and Machine Learning**: Experience with AI and machine learning techniques, such as calculated regression, choice trees, and brain organizations.
* **Experience with Data Warehousing and ETL**: Experience with data warehousing and ETL (Extract, Transform, Load) processes.
* **Experience with Cloud Computing**: Experience with cloud computing platforms, such as Amazon Web Services (AWS) or Microsoft Azure.
**What We Offer**
As a Data Scientist and Analytics Professional at Amazon, you will have the opportunity to work on high-impact projects, collaborate with talented professionals, and develop your skills and expertise in a fast-paced and dynamic environment. We offer a competitive salary and benefits package, including:
* **Clinical, Dental, Vision, and Disability Insurance**: Comprehensive medical, dental, vision, and disability insurance plans for eligible employees and their families.
* **401(k) Plan**: A 401(k) plan with a company match to help you save for your retirement.
* **Adaptable PTO**: Flexible paid time off to support your work-life balance.
* **Employee Discounts**: Discounts on Amazon services and products for eligible employees.
* **Training Assistance**: Training assistance programs to support your professional development and growth.
* **Career Advancement Opportunities**: Opportunities for career advancement and professional growth within the company.
* **Parental Leave**: Parental leave benefits to support you during critical family events, such as the birth or adoption of a child.
* **Wellness Programs**: Wellness programs and resources to support your physical and mental well-being.
* **Flexible Work Arrangements**: Flexible work arrangements, including remote work options, to support your work-life balance.
**How to Apply**
If you are a motivated and talented data professional with a passion for driving business results through data-driven insights, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you!
Apply Now
Apply Now