Job Board
View all jobs

Manager Data Science

A

Amazon.com Services LLC

Arlington, VA, US

2 months ago
full-time
degree mentioned

Job highlights

Qualification

5 years of building quantitative solutions as a scientist or science manager experience. 2 years of scientists or machine learning engineers management experience. 5 years of applying statistical models for large-scale application and building automated analytical systems experience. Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field. Knowledge of Python or R or other scripting language

Benefits

  • The base pay for this position ranges from $140,100/year in our lowest geographic market up to $272,400/year in our highest geographic market
  • 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
  • Health Insurance

Job Description

Description

• 5 years of building quantitative solutions as a scientist or science manager experience • 2 years of scientists or machine learning engineers management experience • 5 years of applying statistical models for large-scale application and building automated analytical systems experience • Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field • Knowledge of Python or R or other scripting language The Market Intelligence team for Workforce Staffing applies data and insights to optimize the experience and operations for Amazon’s largest candidate population – Tier 1 Associates who bring the magic of Amazon’s industry-leading brand promise for customer fulfillment to life. The pace at which job creation, hiring, and growth that happens to support the scale and complexity of Amazon businesses is a problem Amazon is uniquely qualified to solve for and continually innovate on. Workforce Staffing literally hires by the hundreds of thousands across multiple business lines, job types, and shift configurations. The Market Intelligence team in particular focuses on applying labor market, candidate, and competitor intelligence to uplevel job offerings, mitigate operational risk, best position Amazon for its long-term growth. The Market Intelligence team is expanding in its scope. In this role you will lead one of our Science team and will oversee a team of research/data scientists, business intelligent engineers and data analysts. We live in a rapidly changing employment environment and you will lead us in shaping the strategy to find, attract, and retain hourly associates at scale. This is a role that requires a big thinker, strong leader, and excellent writer in order to succeed. Come join a team that is continually shaping and writing the future of the hourly worker job offering landscape. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Seattle, WA, USA • Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) • Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems 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 $140,100/year in our lowest geographic market up to $272,400/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. Applicants should apply via our internal or external career site.