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Description

We are seeking a Data Scientist (DS) to join the Alexa Daily Essentials (ADE) Analytics and Data Science team, working on Alexa+, our next-generation AI-powered assistant. In this role, you will lead large-scale projects that leverage advanced data science techniques to solve complex business problems and drive innovation across multiple teams.

As a Data Scientist, you will partner with product management and technical leadership to identify opportunities for innovation in customer experiences. You will design and implement sophisticated data science solutions, including machine learning models and AI-driven systems, to optimize customer outreach, analyze behavioral patterns, and improve decision-making processes.

Your expertise in statistical modeling, machine learning, and data analysis will be crucial in shaping product strategies and delivering significant business impact. You will be expected to work autonomously, mentor junior team members/other Data Scientists, and collaborate effectively with cross-functional partners to translate complex business challenges into actionable insights and scalable solutions.

Key job responsibilities

Specific Responsibilities Include:

• Lead and execute large-scale data science projects from conception to deployment, addressing complex business problems with minimal guidance

• Design and implement advanced machine learning and AI models, including Generative AI applications, to optimize customer experiences and business processes

• Conduct in-depth data analysis and feature engineering to build robust, scalable ML models

• Collaborate with product managers, engineers, and business stakeholders to identify opportunities and align data science initiatives with organizational goals

• Develop and implement methodologies for measuring incremental value, predicting growth, and optimizing customer engagement

• Mentor junior data scientists and contribute to the team's technical strategy and best practices

• Communicate complex analytical findings effectively to both technical and non-technical audiences, including executive stakeholders

• Stay current with the latest advancements in data science and AI, recommending and implementing new techniques as appropriate

Basic Qualifications

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- 4+ years of data scientist experience

- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)

- Experience with statistical models e.g. multinomial logistic regression

- Proven expertise in applying advanced statistical methods and machine learning techniques to solve business problems

- Strong communication skills with the ability to present complex technical concepts to diverse audiences

Preferred Qualifications

- Experience as a leader and mentor on a data science team

- PhD in a relevant quantitative field or equivalent industry experience

- Experience with cloud-based data platforms (e.g., AWS, Azure) and big data technologies (e.g., Spark, Hadoop)

- Experience in leading cross-functional teams and mentoring junior data scientists

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.