Amazon
Sr Data Scientist, Talent Management Measurement & Insights
Amazon, New York, New York, us, 10261
Sr Data Scientist, Talent Management Measurement & Insights
Job ID: 2788164 | Amazon.com Services LLCAre you passionate about using science to build disruptive solutions that challenge the status quo? Do you want to fundamentally redefine talent management and development for one of the largest and most complex workforces in the world? If you are, we want to talk to you.
Key Job Responsibilities
We are looking for a Data Scientist generalist who can work with senior leadership and partner with technical experts to deliver best-in-class data science solutions for Amazon Talent. The Data Scientist will be comfortable leading statistical and ML projects from conception to production, including understanding business needs, transforming and exploring data, building and validating ML models, and deploying completed models on the AWS cloud. This person will be an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.
A Day in the Life
In this role, you will closely partner with Amazon WW Stores, Finance, and HR leadership teams, as well as various engineering, data, and science teams across the company. Your goal will be to discover best-in-class approaches to better understand and forecast talent movement and enable your customers to derive actionable insights to inform talent strategies. You will develop scientific solutions grounded in rigorous experimentation and measurement to support the growth and mobilization of our workforce, and strategic organizational planning to ensure our talent is optimally positioned to capitalize on emerging business opportunities.
About the Team
The Measurement & Insights team serves as the analytical backbone of Amazon Stores Talent Management, ensuring that Amazon Stores remains at the cutting edge of data-driven talent optimization in the rapidly evolving retail and e-commerce landscape. We focus on providing scientific insights to solve durable customer problems relating to talent optimization, organizational structure, and operating mechanisms. Our interdisciplinary science team with expertise in psychometric measurement, experimental and quasi-experimental research design, statistics, and machine learning, guides the metric design and scientific approaches, uncovers blind spots, and provides proactive insights to address potential challenges and opportunities.
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.) experience4+ years of data scientist experienceExperience with statistical models e.g., multinomial logistic regression
PREFERRED QUALIFICATIONS
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experienceExperience managing data pipelinesExperience 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.
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Job ID: 2788164 | Amazon.com Services LLCAre you passionate about using science to build disruptive solutions that challenge the status quo? Do you want to fundamentally redefine talent management and development for one of the largest and most complex workforces in the world? If you are, we want to talk to you.
Key Job Responsibilities
We are looking for a Data Scientist generalist who can work with senior leadership and partner with technical experts to deliver best-in-class data science solutions for Amazon Talent. The Data Scientist will be comfortable leading statistical and ML projects from conception to production, including understanding business needs, transforming and exploring data, building and validating ML models, and deploying completed models on the AWS cloud. This person will be an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.
A Day in the Life
In this role, you will closely partner with Amazon WW Stores, Finance, and HR leadership teams, as well as various engineering, data, and science teams across the company. Your goal will be to discover best-in-class approaches to better understand and forecast talent movement and enable your customers to derive actionable insights to inform talent strategies. You will develop scientific solutions grounded in rigorous experimentation and measurement to support the growth and mobilization of our workforce, and strategic organizational planning to ensure our talent is optimally positioned to capitalize on emerging business opportunities.
About the Team
The Measurement & Insights team serves as the analytical backbone of Amazon Stores Talent Management, ensuring that Amazon Stores remains at the cutting edge of data-driven talent optimization in the rapidly evolving retail and e-commerce landscape. We focus on providing scientific insights to solve durable customer problems relating to talent optimization, organizational structure, and operating mechanisms. Our interdisciplinary science team with expertise in psychometric measurement, experimental and quasi-experimental research design, statistics, and machine learning, guides the metric design and scientific approaches, uncovers blind spots, and provides proactive insights to address potential challenges and opportunities.
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.) experience4+ years of data scientist experienceExperience with statistical models e.g., multinomial logistic regression
PREFERRED QUALIFICATIONS
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experienceExperience managing data pipelinesExperience 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.
#J-18808-Ljbffr