The Senior Manager of Data Science within the Advertising Partner Experience & Growth team plays a pivotal role in shaping how we scale our products to better drive customer needs as well as measure the effectiveness and impact of our products. We strive to understand customer behaviors and preferences in order to provide them with the best experience and guidance to identify their best growth opportunities for the business.

Key job responsibilities

We are seeking an experienced Senior Manager of Data Science to lead the Data Science, Data Engineering and Business Intelligence functions within the Advertising Partner Enablement & Growth org. In this role, you will:

- Align with senior leadership and stakeholders on top priorities.

-Hire & Develop talent for this fast growing multi-discipline team

- Define the team's vision, strategic roadmap, and ways of working (processes and mechanisms).

- Provide technical guidance, hire, and develop managers and teams.

- Oversee implementation of state-of-the-art technical designs (data pipelines, data models, predictive models, dashboards etc.)

- Communicate strategy, progress, and impact to senior leadership

A day in the life

You'll develop a multiple discipline team of data scientists, data engineers and business intelligence engineers who shape our strategy through vision setting, data governance, and science excellence; fostering an inclusive culture that encourages empathy, experimentation, and innovation. You will guide your teams in balancing strategic thinking with company objectives, and collaborate with key cross-functional leaders and teams to work backwards from the customer to ideate, validate, and execute business opportunities at the forefront of the data science landscape. This will include overseeing the regular application of techniques involving artificial intelligence, machine learning, predictive modeling, causal inference, and large language models.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

BASIC QUALIFICATIONS

- Bachelor's degree

- - 7+ years of applying data science models/techniques for large-scale application and building automated analytical systems experience

- - 5+ years managing scientists or engineers

- - 5+ years experience with SQL

- - Knowledge of Python or other scripting language

PREFERRED QUALIFICATIONS

- - PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field

- - Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)

- - Experience with explainability (XAI) in machine learning and artificial intelligence

- - Experience building data products

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $208,300/year in our lowest geographic market up to $324,100/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.

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