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Data Scientist, AWS, Industries

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Amazon

2mo ago

  • Job
    Full-time
    Senior Level
  • Data
    Software Engineering
  • Seattle

AI generated summary

  • You need 5+ years in data science, 3+ years with SQL and Python, deep learning experience, LLM training, and a quantitative degree. AWS knowledge is preferred.
  • You will collaborate on AI/ML projects, engage with customers to implement solutions, deliver recommendations and presentations, and provide feedback to shape product direction.

Requirements

  • 5+ 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
  • Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
  • PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
  • 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer)
  • Prior experience in training and fine-tuning of Large Language Models (LLMs)
  • Knowledge of AWS platform and tools or equivalent cloud experience

Responsibilities

  • Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges
  • Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
  • Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholder
  • Provide customer and market feedback to Product and Engineering teams to help define product direction

FAQs

What is the main focus of the Data Scientist role at AWS Industries?

The main focus of the Data Scientist role at AWS Industries is to apply cutting-edge Generative AI algorithms to solve real-world problems and help AWS customers implement transformational AI solutions in strategic industry verticals.

What qualifications are required for this position?

Candidates are required to have a Bachelor's degree in a quantitative field, 5+ years of data scientist experience, and 3+ years of experience with data querying languages, scripting languages, and machine learning techniques.

Is a PhD preferred for this position?

Yes, a PhD in a quantitative field is preferred, along with additional experience applying advanced machine learning and statistical modeling techniques.

What type of experience should applicants have with machine learning?

Applicants should have experience with machine learning and statistical modeling tools and techniques, deep learning architectures (e.g., CNN, RNN, LSTM, Transformer), and prior experience in training and fine-tuning Large Language Models (LLMs).

Will Data Scientists work directly with customers?

Yes, Data Scientists will interact directly with customers to understand their business problems, aid in the implementation of generative AI solutions, and provide guidance on adoption patterns.

What is the work culture like at AWS?

AWS values work-life harmony, promotes an inclusive team culture, and emphasizes continuous learning, mentorship, and career growth opportunities.

Is knowledge of AWS platform tools required?

While it is not strictly required, knowledge of AWS platform and tools or equivalent cloud experience is preferred for candidates applying for this position.

What are some responsibilities of the Data Scientist?

Responsibilities include collaborating with AI/ML scientists and engineers to develop generative AI algorithms, delivering customer briefings, creating best practice recommendations, and providing market feedback to Product and Engineering teams.

What is the salary range for this position?

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, depending on job-related knowledge, skills, and experience.

Does AWS provide support for diversity and inclusion in the workplace?

Yes, AWS is committed to creating a diverse and inclusive workplace, offering employee-led affinity groups and various learning experiences that foster a culture of inclusion.

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.