- Experienced leader of leaders, with 10+ years of experience managing multiple science and/or engineering teams.
- 10+ years of experience building and applying ML models to solve complex problems for largescale applications.
- Experience with leadership of experienced scientists as well as a record of developing junior members from academia/industry to a career track in a business environment.
- Familiar with programming languages such as C/C++, Java, Perl or Python
- Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer's organization
- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences
- 8+ years of people management experience
- Experience implementing algorithms, tailored to particular business needs and tested on large data sets.
- Strong research track record
- Practical experience developing largescale decision support tools based on optimization technology for planning and execution support
- Experience working on recommender systems or personalization within ecommerce, advertising, or other related fields.
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Director Applied Science, Global Talent Management - Seattle, WA, United States - Amazon
Description
Director Applied Science, Global Talent Management & Compensation (GTMC)
Advanced degree (e.g., M.S. or PhD) in computer science, statistics, engineering, mathematics or relevant discipline.
DESCRIPCIÓN
Amazon is looking for a strategic, innovative science leader within the Global Talent and Compensation (GTMC) organization to lead an interdisciplinary team charged with developing data-driven solutions to model, automate, and inform high judgement decision making by bringing together science and technology in consumer grade internal talent products.
GTMC delivers employee-focused experiences by providing scalable and responsive mechanisms for employees, as well as listening and signaling mechanisms for managers and leaders.
They do this through intelligent, flexible, and extensible products and scalable data and science services.They set out to deliver a singular experience supporting multiple employee talent journeys (e.g., onboarding, evaluation, compensation, movement, promotion, exit), to generate and capture signals from product data, surface outliers, increase personalization, and improve the efficacy of "next best action" recommendations, for 1.6 million Amazonians around the world.
In this role you will lead multiple research teams across the disciplines of Talent Management, Diversity Equity and Inclusion, and Compensation.
You will interface with the most senior leaders at Amazon to develop and deliver on a strategic research roadmap that crosses all lines of Amazon businesses (e.g., Consumer, AWS, Devices, Advertising).
This role will then partner with engineering and product management leader to deliver the outcomes of this research in production environments.
Successful candidates will have an established background expertise in machine learning with some experience in applying this expertise to the fields of talent management, product management and/or software development.
We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USA
Ability to work in a fast-paced business environment
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 Our compensation reflects the cost of labor across several US geographic markets.
The base pay for this position ranges from $262,500/year in our lowest geographic market up to $350,000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr
Director Applied Science, Global Talent Management professionals in Seattle
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Saad Siddiqui
PRODUCT MANAGEMENT LEADER