Manager, Data Science

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Entering the business to business (B2B) market is one of Amazon’s most exciting growth opportunities and since launching in 2015, Amazon Business (AB) already has more than 2 million customers. We are growing fast, and require talented data science professionals to help us scale. We at Amazon Business are applying the same entrepreneurial and innovative approach that has made Amazon successful in the ecommerce and software services industry to create an unparalleled shopping experience for business purchasing. We build solutions to enable B2B customers to discover, research, and buy products and services relevant for them. Our customers include individual professionals, small businesses to large institutions (and everything in between) from different industry verticals - across seven countries!

To support this vision, we are looking for a Manager to lead the global AB Sales and Marketing Data Science charter. As a Manager of Science, you will hire and develop a team of high-performing Data Scientists and Business Intelligence Engineers, while owning the Science/Tech roadmap for the team. You will leverage advanced analytical and machine learning techniques to evolve the way we prioritize customer leads for Sales outreach, improve Sales data quality through experiments including leveraging 3rd party sources, and build hands of the wheel solutions to automatically classify and segment AB customers in suitable categories. As a Manager of Data Science, you will bring along outstanding analytical abilities and will be comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go. Some of your key responsibilities include:

• Manage a team of high-performing Scientists and BIE's while raising the bar on Science for the global Sales organization
• Make recommendations for new metrics, techniques, and strategies to improve methods to prioritize accounts for manual and automated Sales outreach
• Develop machine learning driven algorithms that establish customer personas and deliver tailored suggestions based on customer's purchase behavior and AB journey
• Help Sales and Marketing uncover hidden business opportunities leveraging hard data and advanced analytical techniques
• Work with cross-functional teams including Sales, Marketing, and Product to understand business requirements and build analytical solutions to achieve key business goals
• Collaborate with Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality
• Foster culture of continuous engineering improvement through mentoring, feedback, and metrics

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

BASIC QUALIFICATIONS

• Bachelor's Degree
• 3+ years of experience leading and managing a technical team
• 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)

PREFERRED QUALIFICATIONS

• MS or PhD degree in Computer Science, Mathematics, Statistics, Finance, Machine Learning or related technical field
• Experience with data visualization software such as Tableau, Amazon Quicksight
• Proven track in leading, mentoring and growing teams of scientists
• Experience with defining organizational research and development practices in an industry setting