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Sr. Data Scientist, Devices Decision Science
Jobright.ai - Seattle, Washington, us, 98127
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Sr. Data Scientist, Devices Decision Science
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Sr. Data Scientist, Devices Decision Science
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Jobright.ai Sr. Data Scientist, Devices Decision Science
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Sr. Data Scientist, Devices Decision Science
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Jobright.ai Amazon is seeking an experienced Senior Data Scientist to join their Decision Science team within Amazon Devices. This role involves leading the development of demand forecasting models and customer segmentation analyses to influence product strategy and launch plans for innovative consumer hardware devices. Responsibilities: • Develop and execute sophisticated conjoint surveys to gather critical consumer insights for upcoming device launches. • Build and refine demand models using conjoint survey data and historical sales information to produce accurate pre-launch forecasts for new Amazon devices. • Lead the advancement of customer segmentation analysis, identifying key characteristics and behaviors of device purchasers across different product lines. • Collaborate with cross-functional teams including Product Management, Marketing, and Finance to translate data-driven insights into actionable strategies for product development and go-to-market plans. • Design and implement machine learning algorithms to enhance the accuracy of demand forecasts and improve customer segment identification. • Stay current with the latest developments in data science techniques, particularly in the areas of conjoint analysis, demand modeling, and customer segmentation. • Mentor junior data scientists and contribute to the overall growth of the data science practice within Amazon Devices. Qualifications: Required: • 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 in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science Preferred: • 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 Company: Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Public Company. Amazon has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in
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Join to apply for the
Sr. Data Scientist, Devices Decision Science
role at
Jobright.ai Sr. Data Scientist, Devices Decision Science
3 days ago Be among the first 25 applicants Join to apply for the
Sr. Data Scientist, Devices Decision Science
role at
Jobright.ai Amazon is seeking an experienced Senior Data Scientist to join their Decision Science team within Amazon Devices. This role involves leading the development of demand forecasting models and customer segmentation analyses to influence product strategy and launch plans for innovative consumer hardware devices. Responsibilities: • Develop and execute sophisticated conjoint surveys to gather critical consumer insights for upcoming device launches. • Build and refine demand models using conjoint survey data and historical sales information to produce accurate pre-launch forecasts for new Amazon devices. • Lead the advancement of customer segmentation analysis, identifying key characteristics and behaviors of device purchasers across different product lines. • Collaborate with cross-functional teams including Product Management, Marketing, and Finance to translate data-driven insights into actionable strategies for product development and go-to-market plans. • Design and implement machine learning algorithms to enhance the accuracy of demand forecasts and improve customer segment identification. • Stay current with the latest developments in data science techniques, particularly in the areas of conjoint analysis, demand modeling, and customer segmentation. • Mentor junior data scientists and contribute to the overall growth of the data science practice within Amazon Devices. Qualifications: Required: • 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 in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science Preferred: • 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 Company: Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Public Company. Amazon has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in
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Seattle, WA $140,000.00-$220,000.00 1 month ago Bellevue, WA $184,000.00-$276,100.00 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr