Society of Exploration Geophysicists
Data Scientist
Society of Exploration Geophysicists, San Francisco, California, United States, 94199
Job Description:We are seeking a highly skilled Data Scientist to join our performance marketing data & applied sciences team. The ideal candidate will play a crucial role in supporting experimentation with ad-hoc deep-dives and investigations while also working on improving data reporting infrastructure for our performance marketing incrementality testing program. You will be supporting experiment actionability with in-depth, ad-hoc investigations, working with Applied Science & marketing teams to automate reporting of actionable KPIs, automating pre/post analyses for incrementality test results, and creating attractive and accessible data visualizations to enhance experiment results.Basic Qualifications
Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.Strong understanding and real-world utilization of basic statistics concepts (Hypothesis testing, power, variance).Experience with exploratory data analysis, statistical analysis, and experimentation.Ability to use Python or R to work efficiently at scale with large datasets.Proficiency in SQL.Ability to use Tableau, Python, R, or Google Sheets to create dashboards & data visualizations for reporting.Able to comfortably communicate data-informed findings with less technical stakeholders.Preferred Qualifications
Experience in experimental design and analysis (e.g., A/B and market-level experiments), as well as causal inference.Experience with Google Ads Data & APIs.
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Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.Strong understanding and real-world utilization of basic statistics concepts (Hypothesis testing, power, variance).Experience with exploratory data analysis, statistical analysis, and experimentation.Ability to use Python or R to work efficiently at scale with large datasets.Proficiency in SQL.Ability to use Tableau, Python, R, or Google Sheets to create dashboards & data visualizations for reporting.Able to comfortably communicate data-informed findings with less technical stakeholders.Preferred Qualifications
Experience in experimental design and analysis (e.g., A/B and market-level experiments), as well as causal inference.Experience with Google Ads Data & APIs.
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