Amazon
Data Scientist, Amazon Stores Finance Science
Amazon, Seattle, Washington, us, 98127
Data Scientist, Amazon Stores Finance Science
Job ID: 2819673 | Amazon.com Services LLCWW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale.
We are looking for an outstanding data scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. You will develop new science-based forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. You will build new ML and statistical models from the ground up that aim to transform financial planning for Amazon Stores.
We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial decision-making with science. The ideal candidate combines data-science acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.
Key job responsibilities
Demonstrating thorough technical knowledge on feature engineering with large datasets, effective exploratory data analysis, and model building using industry standard ML modelsWorking with technical and non-technical stakeholders across every step of science project life cycleCollaborating with finance, product, data engineering, and software engineering teams to create production implementations for large-scale ML modelsInnovating by adapting new modeling techniques and proceduresPresenting research results to our internal research communityBASIC QUALIFICATIONS
2+ years of data scientist experience3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experienceExperience applying theoretical models in an applied environmentBachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer sciencePREFERRED QUALIFICATIONS
Experience in Python, Perl, or another scripting languageExperience in a ML or data scientist role with a large technology companyMaster's degree, or PhDExperience with time series forecasting and ML forecasting methodologiesAmazon 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:
August 28, 2024 (Updated 1 day ago)Posted:
September 12, 2024 (Updated 1 day ago)Posted:
November 1, 2024 (Updated 1 day ago)Posted:
October 23, 2024 (Updated 1 day ago)Posted:
August 5, 2024 (Updated 2 days ago)
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Job ID: 2819673 | Amazon.com Services LLCWW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale.
We are looking for an outstanding data scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. You will develop new science-based forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. You will build new ML and statistical models from the ground up that aim to transform financial planning for Amazon Stores.
We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial decision-making with science. The ideal candidate combines data-science acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.
Key job responsibilities
Demonstrating thorough technical knowledge on feature engineering with large datasets, effective exploratory data analysis, and model building using industry standard ML modelsWorking with technical and non-technical stakeholders across every step of science project life cycleCollaborating with finance, product, data engineering, and software engineering teams to create production implementations for large-scale ML modelsInnovating by adapting new modeling techniques and proceduresPresenting research results to our internal research communityBASIC QUALIFICATIONS
2+ years of data scientist experience3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experienceExperience applying theoretical models in an applied environmentBachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer sciencePREFERRED QUALIFICATIONS
Experience in Python, Perl, or another scripting languageExperience in a ML or data scientist role with a large technology companyMaster's degree, or PhDExperience with time series forecasting and ML forecasting methodologiesAmazon 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:
August 28, 2024 (Updated 1 day ago)Posted:
September 12, 2024 (Updated 1 day ago)Posted:
November 1, 2024 (Updated 1 day ago)Posted:
October 23, 2024 (Updated 1 day ago)Posted:
August 5, 2024 (Updated 2 days ago)
#J-18808-Ljbffr