Sr. Data Scientist, Targeting and Tooling

Sr. Data Scientist - Customer Insights & Audience Targeting, Worldwide Specialist Org (WWSO)

Job ID : 2752255 Amazon Web Services, Inc.

As a Sr. Data Scientist on the Targeting & Tooling team, you will have the opportunity to gain deep insights into customer needs and accelerate our go-to-market strategies.

Leveraging cutting-edge AI and machine learning techniques, you will provide actionable and understandable recommendations that enable our sales teams to anticipate customer requirements and identify those best positioned to benefit from Amazon Web Services (AWS) cloud solutions.

You will work closely with stakeholders throughout the organization to consume, analyze, and interpret customer data from a variety of sources.

Please read the following job description thoroughly to ensure you are the right fit for this role before applying.

You will convey technical concepts clearly to both technical and non-technical audiences. You will identify trends and tell compelling data stories.

You will help improve customer experiences and drive business results as a key member of the World Wide Specialist Organization (WWSO) team.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.

We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.

We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online.

Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life both in and outside of work.

Key job responsibilities

• Leverage machine learning and advanced analytical techniques to extract meaningful insights from large, complex data sets related to GenAI, Enterprise Applications, Containerized Applications, and Serverless applications.
• Build, evaluate, and optimize data science models to solve focused business problems such as improving customer targeting, predicting product demand, and identifying growth opportunities.
• Work closely with Go-To-Market, field teams, and product teams to understand key challenges and inform strategic initiatives with data-driven recommendations.
• Communicate analysis, results and recommendations clearly to key stakeholders to influence Go-To-Market strategy.
• Keep updated on latest data science and machine learning advancements and evaluate new methods for applicability to current business problems.
• Develop best practices for building, evaluating, deploying and monitoring analytical models in production environments.

A day in the life

As a Data Scientist on the Targeting and Tooling team, a typical day may start by meeting with our go-to-market teams to deeply understand the customer challenges they want to solve, the AWS services and technologies that can address those needs, and the key success metrics for their initiatives.

You will translate business goals into focused, data-driven projects. This involves identifying leading indicators and unique data sources to model ideal customer profiles and high-potential targets.

About the team

The Targeting and Tooling team plays a crucial role in enabling AWS go-to-market teams to achieve their strategic initiatives.

We leverage cutting-edge data science and machine learning techniques to equip our sales and marketing teams with actionable insights that accelerate cloud transformation.

Our core mission is to provide data-driven targeting that allows AWS go-to-market teams to anticipate customer needs early and identify high-potential opportunities.

Working closely with stakeholders, we first strive to thoroughly understand existing solutions and offerings along with their target outcomes.

With this context, we develop innovative predictive models that identify both current ideal customers and those likely to expand their AWS footprint over time.

In addition, we create novel metrics and adoption models that measure the overall success of the initiative.

The Targeting and Tooling group produces the actionable intelligence that directly informs go-to-market strategies worldwide.

The insights we uncover help prioritize accounts and opportunities to drive AWS growth. As a team of elite data scientists and machine learning engineers, we shape plans that support sales, marketing, and cloud adoption success across all industries.

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.) experience

• 4+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression

PREFERRED QUALIFICATIONS

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience 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.

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

• 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 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.

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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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