Data Scientist

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon sites, on other high quality publishers across the web, and on millions of Kindles, tablets, mobile devices and Out of Home experiences. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place. The Advertising Customer Experience team builds processes and mechanisms to protect end customer experience, and partners with product, policy, and operations teams to continuously improve our customers advertising experience.

This Data Scientist will be an expert in the areas of data science, machine learning and statistics, having hands-on experience with multiple improvement initiatives as well as balancing technical and business judgment to make the right decisions about technology, models and methodologies. The job will own and drive a new and ambiguous space – how do we leverage advanced analytics and machine learning to find areas of business opportunity from direct customer feedback to elevate customer’s experience with advertising? This will require analyzing very large data sets, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, Business Intelligence Engineers, and Product Managers. The successful candidate will exemplify bias for action needed in a startup environment.

Why you love this opportunity
Amazon is investing heavily in building a world-class advertising business. We are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and break fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities.

Impact and Career Growth
You will invent new shopper and advertiser experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this role will be powering the engine of one of the fastest-growing businesses within Amazon. Define a long-term science vision for our advertising business, driven fundamentally 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.

Basic Qualifications

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

Preferred Qualifications

· Master's or PhD in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field
· 4+ years of experience with machine learning, statistical modeling, data mining, and analytics techniques.
· Current experience as a scientist building ML models and working with a large technology company.
· Fluency in a scripting or computing language (e.g. Python, Scala, Java, etc.)
· Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to scientists, engineering teams and business audiences.
· Ability to distill informal customer requirements into problem definitions, quantify improvement in customer experience or value for the business resulting from research outcomes, dealing with ambiguity and competing objectives.
· Demonstrable track record of dealing well with ambiguity, ability to self-motivate, prioritizing needs, and delivering results in a dynamic environment.

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