Data Scientist, Advertising

Key Skills

Java Programming, Analytical and Problem solving, Design, Python Programming, Database, SQL, Machine learning techniques, Data science techniques, MATLAB Programming, R Programming, KPIs, SAS

Job Description

Job summary

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a set of audience segments to help advertisers plan media, gain insights about customer behaviors, create targeting strategies, and more. Our products form the core of our display advertising business. We ensure that billions of ads served are relevant to our customers. 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 are growing at an unprecedented rate with a seemingly endless range of new opportunities.

Successful candidates will have technical ability, a focus on great customer experience, excellent teamwork and communication skills, and a motivation to achieve results in a fast-paced environment.

Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you have the opportunity to make a difference to our business by working on production systems on a hyperscale.

BASIC QUALIFICATIONS

• Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)

• Bachelor's Degree
• Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
• Experience applying various machine learning techniques, and understanding the key parameters that affect their performance.
• Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, and the ability to accurately determine cause and effect relationships.
• Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs.
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.* Experienced in using multiple data science methodologies to solve complex business problems.
• Experienced in handling large data sets using SQL and databases in a business environment.
• Excellent verbal and written communication.
• Strong troubleshooting and problem solving skills.
• Thrive in a fast-paced, innovative environment.

PREFERRED QUALIFICATIONS

• Master's degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with at least 4+ years of working experience as a Data Scientist.
• Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.