Description
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelor's degree
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
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 $143,300/year in our lowest geographic market up to $247,600/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 Shipping and Delivery Support (SDS) Tech team is seeking a passionate and customer-obsessed Senior Data Scientist to join our science team. You will use scientific research and rigorous analytics to influence our program and product strategies in driver and recipient support, solve complex problems at large scale, and drive intelligence and innovation in driver and recipient support products and programs.
This role requires an individual with outstanding leadership skills and business acumen, ability to effectively connect business needs with technology, prioritize and formulate product features into a science framework, and guide cross-functional teams to implement solutions and improve driver and recipient experience. We are looking for an experienced scientit who is a self-starter comfortable with ambiguity, demonstrates strong attention to detail and curiosity in new knowledge domains, and has the ability to excel in a fast-paced and ever-changing environment.
Key job responsibilities
* Provide thought leadership and support the development of continuously-evolving business analytics and data models, own the quantitative analysis of project opportunity and ROI.
* Translate difficult business problem statements into data science frameworks; build, evaluate, and optimize statistical and machine learning models to solve focused business problems.
* Retrieve, analyze, and synthesize critical data into a format that is immediately useful to answering specific questions or informing operational decisions.
* Collaborate with cross-functional teams in SDS and in the broader Customer Service organization, as well as with partner teams in Amazon Last Mile to align on product science strategy and approaches.
* Stay up front with latest technology development in the science domain, including but not limited to machine learning, generative AI and large language models, and drive science applications in products and programs in SDS.
* Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelor's degree
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
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 $143,300/year in our lowest geographic market up to $247,600/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 Shipping and Delivery Support (SDS) Tech team is seeking a passionate and customer-obsessed Senior Data Scientist to join our science team. You will use scientific research and rigorous analytics to influence our program and product strategies in driver and recipient support, solve complex problems at large scale, and drive intelligence and innovation in driver and recipient support products and programs.
This role requires an individual with outstanding leadership skills and business acumen, ability to effectively connect business needs with technology, prioritize and formulate product features into a science framework, and guide cross-functional teams to implement solutions and improve driver and recipient experience. We are looking for an experienced scientit who is a self-starter comfortable with ambiguity, demonstrates strong attention to detail and curiosity in new knowledge domains, and has the ability to excel in a fast-paced and ever-changing environment.
Key job responsibilities
* Provide thought leadership and support the development of continuously-evolving business analytics and data models, own the quantitative analysis of project opportunity and ROI.
* Translate difficult business problem statements into data science frameworks; build, evaluate, and optimize statistical and machine learning models to solve focused business problems.
* Retrieve, analyze, and synthesize critical data into a format that is immediately useful to answering specific questions or informing operational decisions.
* Collaborate with cross-functional teams in SDS and in the broader Customer Service organization, as well as with partner teams in Amazon Last Mile to align on product science strategy and approaches.
* Stay up front with latest technology development in the science domain, including but not limited to machine learning, generative AI and large language models, and drive science applications in products and programs in SDS.
* Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
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