Senior Data Scientist, Connections Research

Job summary
Amazon Connections is changing the way that we use the voice of employee to improve business outcomes and the employee experience of an incredibly complex, global workforce. We ask employees quick questions every day to get early signals and to learn more about their experiences that allow early notifications and positive changes with internal business partners around the world. The mission of Connections Research team is to support Amazon in being the Earth’s Best Employer. We accomplish this mission by delivering high quality questions and research-backed insights to inform our line managers and leadership to take action, and make data-driven decisions that create a safe, productive, diverse and inclusive work environment.

We are looking for a senior data scientist to lead projects from start to finish. This involves identifying opportunities, developing, testing and deploying machine learning models for Connections and then scaling them up to other internal People Engagement products. These solutions help generate insights from the vast amount of workforce data at scale and help Amazon become Earth's Best Employer.

Key job responsibilities

• Collaborating with scientists and product managers to identify opportunities
• Developing algorithms / models to generate insights at scale
• Collaborating with software development teams to deploy models into production
• Coaching junior scientists and providing thought leadership

Basic Qualifications

• Bachelor's Degree
• 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• 4+ years working as a Data Scientist

• Master's degree or above from a quantitative field
• Proficiency in ML algorithms
• Industry experience in deploying models into production
• Comfortable with ambiguity

Preferred Qualifications

• Familiarity with model explainability tools
• Familiarity with causal inference techniques
• Experience with working workforce data
• Experience using AWS products
• Knowledge of software engineering best practices for the full development life cycle (i.e., coding standards, code reviews, source control management, build processes, and testing)

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.