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Data Scientist, Business Advancement Science

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Amazon

2mo ago

  • Job
    Full-time
    Junior & Mid Level
  • Data
    IT & Cybersecurity
  • Seattle

AI generated summary

  • You need 2+ years as a data scientist, 3+ years in SQL and scripting (Python), machine learning, and applying theoretical models in practice, preferably in a tech company.
  • You will drive execution and prioritize diverse requests, implement process improvements, manage stakeholder relationships, and ensure operational excellence by monitoring metrics and resolving blockers.

Requirements

  • 2+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Experience applying theoretical models in an applied environment
  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company

Responsibilities

  • Engineering execution - drive crisp and timely execution of milestones, consider and advise on key design and technology trade-offs with engineering teams
  • Priority management - manage diverse requests and dependencies from teams
  • Process improvements – define, implement and continuously improve delivery and operational efficiency
  • Stakeholder management – interface with and influence your stakeholders, balancing business needs vs. technical constraints and driving clarity in ambiguous situations
  • Operational Excellence – monitor metrics and program health, anticipate and clear blockers, manage escalations

FAQs

What is the primary role of a Data Scientist in the AWS Workforce Planning team?

The primary role of a Data Scientist in the AWS Workforce Planning team is to partner with various teams to create world-class solutions by leveraging machine learning, advanced analytics, and reporting to analyze data and generate meaningful insights for strategic decision-making.

What qualifications are necessary to apply for this position?

The basic qualifications include 2+ years of data scientist experience, 3+ years of experience with data querying languages (such as SQL), scripting languages (such as Python), or statistical/mathematical software (like R, SAS, or Matlab), as well as experience with machine learning/statistical modeling techniques.

What are some preferred qualifications for this job?

Preferred qualifications include experience in Python, Perl, or another scripting language, and experience working in a ML or data scientist role at a large technology company.

How does Amazon ensure diversity and inclusion in the workplace?

Amazon is committed to creating a diverse and inclusive workplace, emphasizing that they do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected statuses.

What kind of compensation package can I expect?

The base pay for this position ranges from $125,500/year in the lowest geographic market to $212,800/year in the highest geographic market, along with potential equity, sign-on payments, and other benefits as part of a total compensation package.

How does the role contribute to operational excellence?

The role contributes to operational excellence by monitoring metrics and program health, anticipating and clearing blockers, managing escalations, and driving continuous process improvements for operational efficiency.

Will I have the opportunity to work with other teams?

Yes, as a Data Scientist, you will collaborate with Software Engineers, Data Engineers, other Scientists, Product Managers, and Senior Management to develop and implement solutions that enhance the AWS People Planning experience.

What is the work environment like in this role?

The work environment encourages high standards, innovation on behalf of customers, and collaboration among team members, promoting a fun atmosphere while striving to deliver the best results.

Is there a specific process for requesting accommodations during the application and hiring process?

Yes, applicants who need workplace accommodations or adjustments can visit Amazon's accommodations page for more information on how to request support during the interview or onboarding processes.

Until when will the job position remain posted?

The position will remain posted until filled, and applicants are encouraged to apply via Amazon's internal or external career site.

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Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.