Data Scientist
On-siteSunnyvale, California, United States
Job Summary
Build machine learning and statistical models to predict key signals for optimizing marketing campaign performance, such as search engine marketing and customer targeting. Run large-scale statistical A/B tests to evaluate model performance in SEM applications. Process complicated, large-scale datasets on distributed computing platforms to extract insights, predict future trends, and optimize business metrics. Create compelling data visualizations and interactive dashboards for monitoring. Communicate algorithm suggestions, performance results, and business insights to both technical and business teams internally and externally.
Required Qualifications
- Experience in tackling prediction problems: exploring data, building models, and analyzing performance.
- Enthusiasm for trying out new algorithms, new data features, new problem statements, new ideas you read in a paper: an always-learning mentality.
- Proactive mindset: going beyond a specific task to thinking about any improvements that can help the team.
- Communication skills – the ability to present insights to others in the organization.
- You're experienced with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning, NLP, and Reinforcement Learning.
- You have strong implementation experience with at least one programming language (Python, R, Java, Scala, etc.).
- You have strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform.
- You have a Ph.D. in computer science, statistics, or other related fields with an emphasis on Machine Learning or a Master's degree with 2+ years of data science experience.
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