Amazon
Senior Data Scientist, Artificial General Intelligence, AGI
Amazon, Seattle, Washington, us, 98127
Job ID: 2846125 | Amazon.com Services LLC
The Mission of Amazon's Artificial General Intelligence (AGI) team is to "Build world-class general-purpose intelligence services that benefits every Amazon business and humanity." Are you a data enthusiast? Are you a creative big thinker who is passionate about using data to direct decision making and solve complex and large-scale challenges? If so, then this position is for you! We are looking for a motivated individual with strong analytical and communication skills to join us.
In this role, you will apply advanced analytics techniques, AI/ML, and statistical concepts to derive insights from massive datasets. The ideal candidate should have expertise in AI/ML, statistical analysis, and the ability to write code for building models and pipelines to automate data and analytics processing. They will help us design experiments, build models, and develop appropriate metrics to deeply understand the strengths and weaknesses of our systems. They will build dashboards to automate data collection and reporting of relevant data streams, providing leadership and stakeholders with transparency into our system's performance. They will turn their findings into actions by writing detailed reports and providing recommendations on where we should focus our efforts to have the largest customer impact.
A successful candidate should be a self-starter, comfortable with ambiguity with strong attention to detail, and have the ability to work in a fast-paced and ever-changing environment. They will also help coach/mentor junior scientists in the team. The ideal candidate should possess excellent verbal and written communication skills, capable of effectively communicating results and insights to both technical and non-technical audiences.
BASIC QUALIFICATIONS
- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - 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 - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - Experience with statistical models e.g. multinomial logistic regression - Experience with data visualization using Tableau, Quicksight, or similar tools PREFERRED QUALIFICATIONS
- Experience managing data pipelines - Experience as a leader and mentor on a data science team - Experience in forecasting analyses - Experience with unstructured textual data - Experience working with scientists, economists, software developers, or product managers - Experience working with data engineers and business intelligence engineers collaboratively 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. Posted:
December 14, 2024 (Updated 1 day ago)
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- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - 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 - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - Experience with statistical models e.g. multinomial logistic regression - Experience with data visualization using Tableau, Quicksight, or similar tools PREFERRED QUALIFICATIONS
- Experience managing data pipelines - Experience as a leader and mentor on a data science team - Experience in forecasting analyses - Experience with unstructured textual data - Experience working with scientists, economists, software developers, or product managers - Experience working with data engineers and business intelligence engineers collaboratively 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. Posted:
December 14, 2024 (Updated 1 day ago)
#J-18808-Ljbffr