Data Scientist

DESCRIPTION

In Amazon's Workforce Solutions Analytics and Technology Org, we leverage state-of-the-art technologies to address complex human challenges on a grand scale. Our mission is to deliver captivating, user-centric, and personalized experiences that empower employees to effectively manage their work-life balance from anywhere, at any time. The Workforce Solutions team is actively seeking a Senior Data Scientist to lead our data science efforts. This role encompasses a wide array of responsibilities, with a primary focus on Natural Language Processing and machine learning. Your contributions will be instrumental to tackle staffing challenges within Amazon's warehouses.

Key job responsibilities

As a Data Scientist specialized in Natural Language Processing, you will play a key role in extracting meaningful insights from vast structured and unstructured datasets. Your responsibilities will include:

Data Analysis and Modeling:

• Leverage advanced statistical and machine learning techniques to analyze large and complex datasets.
• Develop and implement NLP models, including Language Models (LLM), to extract insights from unstructured textual data.

Problem Solving:

• Collaborate with cross-functional teams to identify business problems and develop innovative data-driven solutions.
• Address challenges related to scalability, data quality, system integration and ML Ops.

Algorithm Development:

• Design and implement algorithms to process, analyze, and derive insights from diverse data sources.
• Stay current with the latest advancements in NLP and machine learning, applying cutting-edge techniques to solve business problems.

Data Visualization and Communication:

• Communicate findings effectively to both technical and non-technical stakeholders through compelling data visualizations and presentations.
• Collaborate with business teams to understand requirements and translate them into actionable insights.

About the team

In Workforce Solutions team, we enable Amazon to be the employer of choice for hourly workers by offering them the fastest path to a consistent and flexible hourly job with opportunities to earn more and grow their skill sets, resulting in more value for customers as we better absorb variability and lower costs. We build capabilities and programs that enable flexible job management for associates. Our team is dedicated to supporting our members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, earn trust, and our commitment to strive to be earth’s best employer.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

BASIC QUALIFICATIONS

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 4+ years of data scientist experience
• Bachelor's degree
• Master's degree, or PhD
• Experience with statistical models e.g. multinomial logistic regression

PREFERRED QUALIFICATIONS

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

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 $111,600/year in our lowest geographic market up to $212,800/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. This position will remain posted until filled. Applicants should apply via our internal or external career site