Description
- 3+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
We are seeking a highly accomplished and visionary Data Science professional to join our team, leading our data science strategy for the New Product Launch (NPL) program. In this role, you will collaborate closely with business leaders, stakeholders, and cross-functional teams to drive the success of the NPL program through data-driven solutions. You will be responsible for shaping the data science roadmap for NPL, fostering a culture of data-driven decision-making, and delivering significant business impact through advanced analytics and cutting-edge data science methodologies.
Key job responsibilities
As a Data Scientist on this team, you will:
1. Develop and drive the data science strategy for the New Product Launch (NPL) program, aligning it with the program's objectives and overall business goals.
2. Identify high-impact opportunities within the NPL program and lead the ideation, planning, and execution of data science initiatives to address them.
3. Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.
4. Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data
5. Apply statistical and machine learning knowledge to specific business problems and data.
6. Build decision-making models and propose solution for the business problem you define.
7. Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.
8. Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
We are seeking a highly accomplished and visionary Data Science professional to join our team, leading our data science strategy for the New Product Launch (NPL) program. In this role, you will collaborate closely with business leaders, stakeholders, and cross-functional teams to drive the success of the NPL program through data-driven solutions. You will be responsible for shaping the data science roadmap for NPL, fostering a culture of data-driven decision-making, and delivering significant business impact through advanced analytics and cutting-edge data science methodologies.
Key job responsibilities
As a Data Scientist on this team, you will:
1. Develop and drive the data science strategy for the New Product Launch (NPL) program, aligning it with the program's objectives and overall business goals.
2. Identify high-impact opportunities within the NPL program and lead the ideation, planning, and execution of data science initiatives to address them.
3. Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.
4. Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data
5. Apply statistical and machine learning knowledge to specific business problems and data.
6. Build decision-making models and propose solution for the business problem you define.
7. Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.
8. Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
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