$104300 - $202800 Year
Monday to Friday
Morning shift
Day shift
Evening shift
Night shift
Health insurance
Paid time off
Employee discount
Dental insurance
Vision insurance
401(k)
401(k) matching
Flexible schedule
Parental Leave
Tuition reimbursement
Flexible spending account
Retirement plan
Others
Do you want to join an innovative team of scientists who use machine learning, NLP and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people work with customer service? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it. We're looking for scientist to own end-to-end business problems which would have a direct impact on the bottom line of our business while improving customer experience.
If you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, if you love to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team.
You will participate in all phase of science projects, including big data understanding, developing ML models, designing and implementing product experiment, automating analytical metric mechanism, and communicating results. You will earn trust from our business partners by collaborating with them to define key research questions, communicate scientific approaches and findings, listen to and incorporate their feedback, and deliver successful solutions.
Key job responsibilities
• Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
• Design structured, multi-source data/statistics solutions to deliver results
• Establish scalable, efficient, automated processes for large scale data analyses, statistics and visualization solution
• Preprocess and analyze unstructured text data by NLP techniques to understand customer needs and product enhancement
• Conduct A/B test experiment to support product dial-up decision
• Lead the technical project end-to-end lifecycle.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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 $104,300/year in our lowest geographic market up to $202,800/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.
Communication
Leadership
Teamwork
Interpersonal
Learning/adaptability
Self-management
Organizational
Computer
Problem solving
Open mindedness
Strong work ethic
technology
Others
10+ years of professional or military experience
5+ years of SQL experience
Experience programming to extract transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval data science machine learning and data mining
Business administration
On going position
In-person