Data Science Manager, Advertising

PhD or Master’s Degree in Statistics, Applied Mathematics, Physics, Science, Engineering, Economics, or other quantitative fields.
- 3+ years of direct people management; managing scientists.
- 8+ years of experience as a data scientist, economist, applied scientist, research scientist or equivalent data analytics role
- Expertise in as many of the following: hypothesis testing, estimation, experimental design, hypothesis and A/B testing, causal inferencing, multi-variate testing & design, descriptive analytics, and regression analysis.
- Experience with data scripting languages (e.g. SQL, Python, R) or statistical/mathematical software (e.g. R, SAS, or Matlab).
- Familiarity with probability, probability distributions, statistics and causal inference.

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day

**As the Data Science Manager on this team, you will**:

- Lead of team of scientists, business intelligence engineers, etc., on solving science problems with a high degree of complexity and ambiguity.
- Develop science roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects.
- Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.
- Hire and develop top talent, provide technical and career development guidance to scientists and engineers in the organization.
- Analyze historical data to identify trends and support optimal decision making.
- Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.
- Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.
- Build decision-making models and propose effective solutions for the business problems you define.
- Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.

**Why you will love this opportunity**: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.

**Impact and Career Growth**: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.

Toronto, ON, CAN
- Broad knowledge of ML methods, statistical analysis, and problem-solving skills.
- Expert level knowledge in statistics; sophisticated user of statistical tools.
- Experience processing, filtering, and presenting large quantities (hundreds of millions/billions of rows) of data
- Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization.
- Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
- Excellent verbal and written communication skills with the ability to advocate technical solutions for science, engineering, and business audiences.
- Ability to develop experimental and analytical plans for data modeling, use effective baselines, and accurately determine cause-and-effect relations.

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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.