Industry Job Opportunities

Amazon: Analytics & Insights Engineering team

SR. APPLIED SCIENTIST
APPLIED SCIENTIST

Position Types: Full-time
Location: New York, NY

JOB DESCRIPTION

Amazon’s Advertising Analytics and Insights (A&I) team is looking for a motivated and experienced Applied Scientist to pioneer new ways to analyze the needs, experiences, and behaviors of Amazon consumers at petabyte scale. We are a startup within one of the fastest growing and most strategic parts of Amazon. Analytics & Insights owns the product, technology and deployment roadmap for advanced analytics and insights products across our advertiser success team. Advertiser success is core to Amazon’s growth, as it helps our suppliers drive awareness, consideration, and purchase of their products by hundreds of millions of consumers around the world, and generates revenue which helps us lower prices and invest in improvements to our customer experience. We are a highly motivated, collaborative and fun-loving team with an entrepreneurial spirit. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

Marketers are looking for ways to better understand consumer needs and behaviors, in order to make sense of the decision-making process of customers. Understanding the “purchase journey” helps marketers cater to consumer needs and optimize their advertising spending, increasing the value of advertising for both advertisers and consumers. In this role, you will take a leading role in defining the problem, innovating the ML/AI solutions and informing the roadmap. You will join a new and growing team of top-notch technical professionals working to develop and evaluate new advertising metrics based on petabytes of data. You will be part of a cross-functional team, working closely with scientists and engineers in a daily basis. You will innovate on behalf of our customers by prototyping, delivering functional proofs of concept (POCs), and partnering with our engineers to productize and scale successful POCs. If you are passionate about creating the future, come join us as we have fun, and make history.

SR. Applied Scientist - BASIC QUalifications

  • PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
  • 3+ years of experience of building machine learning models for business application
  • Experience programming in Java, C++, Python or related language
  • Hands-on experience with data scripting languages (e.g., SQL, Python, R, etc.) or statistical/mathematical software (e.g., R, MATLAB, Python, etc.)
  • Depth and breadth in quantitative knowledge; excellent quantitative modeling, statistical analysis, and problem-solving skills

PREFERRED Qualifications

  • 7+ years of hands-on experience applying theoretical models in an applied environment
  • Expertise on a broad set of ML approaches and techniques, such as artificial neural networks, hidden Markov model and Bayesian inference methods
  • Demonstrable track record of dealing with ambiguity, prioritizing needs, and delivering results in a dynamic environment
  • Proven track record in leading, mentoring and growing teams of scientists
  • Significant peer reviewed scientific contributions in premier journals and conferences
  • Proven ability to work effectively in a cross-functional team
  • Experience with digital media, online advertising or retail
  • Excellent written and oral communication skills; ability to convey mathematical results to non-science stakeholders

How to Apply

Please use this link to apply.

 

Applied Scientist - BASIC QUalifications

  • PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
  • 2+ years of experience of building machine learning models for business application
  • Experience programming in Java, C++, Python or related language
  • Hands-on experience with data scripting languages (e.g., SQL, Python, R, etc.) or statistical/mathematical software (e.g., R, MATLAB, Python, etc.)
  • Depth and breadth in quantitative knowledge; excellent quantitative modeling, statistical analysis, and problem-solving skills

PREFERRED Qualifications

  • 5+ years of hands-on experience applying theoretical models in an applied environment
  • Expertise on a broad set of ML approaches and techniques, such as artificial neural networks, hidden Markov model and Bayesian inference methods
  • Significant peer reviewed scientific contributions in premier journals and conferences
  • Proven ability to work effectively in a cross-functional team
  • Experience with digital media, online advertising or retail
  • Excellent written and oral communication skills; ability to convey mathematical results to non-science stakeholders

How to Apply

Please use this link to apply.

Equal Employment Opportunity Statement

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.