Amazon
Senior Data Scientist , Amazon Partner Experience and Growth
Amazon, Seattle, Washington, us, 98127
Senior Data Scientist , Amazon Partner Experience and Growth
Job ID: 2850101 | Amazon.com Services LLC Amazon Worldwide Advertising is one of Amazon's fastest growing and most profitable businesses. Partner Experience and Growth (PEG) team leverages advanced analytics and experimentation to unlock value for our advertising partners and mutual customers i.e. the advertisers. The Science charter in PEG spearheads these efforts by optimizing the onboarding journey and providing data-driven insights to agencies and tool providers in the Amazon Ads ecosystem. Our proprietary tools provide granular visibility into what's working across audiences, creatives, targeting strategies, and more. These custom algorithmic recommendations uncover growth opportunities previously hidden in the data fog. Partners can confidently allocate budgets based on predicted performance, unlocking improved return on ad spend. Advertisers reap the benefits through expanded brand awareness, increased sales, and stronger customer loyalty over time.
Key job responsibilities
You will participate in driving features from idea to deployment, and your work will directly impact millions of customers. Map business requirements and customer needs to a scientific problem. Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization. Research, design and implement scalable machine learning (ML), natural language, or supervised and unsupervised models to solve problems that matter to our customers in an iterative fashion. Mentor and develop junior scientists and developers who work on science problems in the same organization. Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and science communities. Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations on proposed solutions and their potential impact.
About the team
The Partner Science team’s vision is to drive the Advertising Partner flywheel by infusing science-based interventions at all stages of their journey with Amazon Ads including demand generation, partner selection, partner engagement, partner competition and innovation, ultimately improving the partner managed advertiser experience. We drive the vision by attracting and growing top scientist talents in an innovative, experimental, and collaborative culture.
BASIC QUALIFICATIONS
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 Bachelor's degree Experience with statistical models e.g. multinomial logistic regression
PREFERRED QUALIFICATIONS
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 Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience Experience working on science models that are in production for LLMs and causal inference
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
this link
for more information.
Posted:
December 13, 2024 (Updated 1 day ago)
#J-18808-Ljbffr
Job ID: 2850101 | Amazon.com Services LLC Amazon Worldwide Advertising is one of Amazon's fastest growing and most profitable businesses. Partner Experience and Growth (PEG) team leverages advanced analytics and experimentation to unlock value for our advertising partners and mutual customers i.e. the advertisers. The Science charter in PEG spearheads these efforts by optimizing the onboarding journey and providing data-driven insights to agencies and tool providers in the Amazon Ads ecosystem. Our proprietary tools provide granular visibility into what's working across audiences, creatives, targeting strategies, and more. These custom algorithmic recommendations uncover growth opportunities previously hidden in the data fog. Partners can confidently allocate budgets based on predicted performance, unlocking improved return on ad spend. Advertisers reap the benefits through expanded brand awareness, increased sales, and stronger customer loyalty over time.
Key job responsibilities
You will participate in driving features from idea to deployment, and your work will directly impact millions of customers. Map business requirements and customer needs to a scientific problem. Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization. Research, design and implement scalable machine learning (ML), natural language, or supervised and unsupervised models to solve problems that matter to our customers in an iterative fashion. Mentor and develop junior scientists and developers who work on science problems in the same organization. Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and science communities. Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations on proposed solutions and their potential impact.
About the team
The Partner Science team’s vision is to drive the Advertising Partner flywheel by infusing science-based interventions at all stages of their journey with Amazon Ads including demand generation, partner selection, partner engagement, partner competition and innovation, ultimately improving the partner managed advertiser experience. We drive the vision by attracting and growing top scientist talents in an innovative, experimental, and collaborative culture.
BASIC QUALIFICATIONS
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 Bachelor's degree Experience with statistical models e.g. multinomial logistic regression
PREFERRED QUALIFICATIONS
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 Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience Experience working on science models that are in production for LLMs and causal inference
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
this link
for more information.
Posted:
December 13, 2024 (Updated 1 day ago)
#J-18808-Ljbffr