Using big data algorithms, we help companies optimize their marketing ROI by pinpointing which elements of their online and offline campaign mixes are actually delivering. We currently partner with over 150 companies, and are proud of being Nielsen’s preferred vendor for marketing attribution and measurement.
The heart of this role is researching and developing algorithms based on methods of Machine Learning and Statistics to analyze and provide actionable insights from data. You should be self-sufficient in the ability to retrieve the data from company datastores, cleanse it and process it into a format useful to you and iterate over different analysis approaches and algorithms resulting in a working code prototype. You will then work with our engineers to develop those prototypes into efficient and scalable solutions, processing data on a large scale in an automated manner, feeding the results back into our systems.
You will work with Product to both understand the needs of our clients and the actionable insights they seek to make business decisions, as well as provide your own ideas of what new questions can our data give answers to.
You will work with our Engineers responsible for the heavy lifting of collecting and processing the data on which our analyses rely and obtain a deep understanding of what data is collected and how is it structured, what information it provides as well as how may it be biased or incomplete.
You will be expected to communicate with the company and our clients, explaining complex methodologies in clear terms and what actionable business insights do our algorithms provide.
M.Sc. or Ph.d in a quantitative discipline such as Computer Science, Bioinformatics or Statistics (Exceptional candidates with a B.Sc. will be considered).
Experience solving problems that required the use of machine learning algorithms or statistical modeling
Programming skills that allow you to be self sufficient in handling data and prototyping various analysis approaches: Knowledge of SQL, Knowledge of a scripting language such as Python or Perl, Working knowledge of a language for modeling or statistical analysis such as R or Matlab
Excellent communication skills and ability to describe complex technical concepts in clear language
The ability and desire to be constantly learning, both new technologies and new algorithmic approaches
EEO/AA Women, Minorities, Veterans, Individuals with Disabilities Employer: AOL offers a competitive salary and benefits package, including 401(k) match and performance bonus. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or other protected category.
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