Master's degree (or Bachelors degree or 5+ years of experience) in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science;
- 1+ years of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication;
- 2+ years of experience using data querying languages (e.g.
SQL, Hadoop/Hive);
- 1+ years of experience working in data science in a consumer product company;
- Skilled with Python, R, SAS, MATLAB, or similar scripting language;
- Experience using multiple data science methodologies to solve business problems (e.g.
statistical analysis, machine learning, data modeling, regression modeling, financial analysis, demand modeling, etc.
);
- Experience in distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives;
- Experience communicating verbally and in writing to technical peers and leadership teams with various levels of technical knowledge, educating them about systems and algorithms, as well as sharing insights and data-driven recommendations;
- Experience querying, processing, filtering, and presenting large quantities (millions to billions of rows) of data;
- Proficiency in English;
Job summary
Key job responsibilities
- Your Responsibilities*
- Define and own machine learning solutions in the consumer space, including targeting, measurement, creative optimization, and multivariate testing.
- Influence the team's approach to integrating machine learning into business workflows.
- Advise leadership, both tech and non-tech.
- Masters in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent);
- Knowledge and practical experience in any of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval;
- Experience with C++, or other programming language;
- Proficient in SQL;
- Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker;
- Experience working in an Agile/Scrum environment;
- Ability to work on a diverse team or with a diverse range of coworkers.