Data Scientist II
EnergySolutions
ETLNumpyPandasPythonScikit-LearnSQLTableau
Job Level
Mid-LevelSenior
Tech Stack
ETLNumpyPandasPythonSQLTableau
About the role
- Transform and organize complex retail transaction data, including receipt-level information and product catalog matching
- Operate effectively within SQL-constrained clean room environments for data analysis and processing
- Calculate incremental advertising impact on critical business metrics, including revenue and customer acquisition
- Implement both experimental (randomized controlled trials) and observational methodologies
- Deploy advanced causal inference techniques for longitudinal data analysis, including difference-in-differences, synthetic control methods, and variations
- Apply causal machine learning approaches such as double machine learning and other innovative techniques
- Design and structure controlled experiments where feasible
- Create reliable causal inference frameworks for scenarios where traditional experimentation isn't possible
- Translate complex technical findings into accessible insights for business stakeholders
- Collaborate directly with clients to understand business context, operations, and strategic objectives
- Explore and integrate novel data sources and analytical approaches to expand measurement capabilities
Requirements
- Exceptional analytical mindset with passion for data exploration and pattern recognition
- Expert-level SQL proficiency
- Advanced Python skills including data manipulation frameworks (Pandas, NumPy, etc.)
- Comprehensive Machine Learning knowledge with demonstrated real-world application experience
- Specialized expertise in causal inference methodologies
- Experience with longitudinal data analysis, observational studies, and experimental design
- Proficiency with data visualization platforms (Tableau, Power BI, or similar)
- Strong foundation in data integration, ETL workflows, and database architecture
- Deep understanding of statistical modeling, sales attribution models, and controlled testing frameworks
- Experience with major advertising platforms and walled garden environments (Meta, Google Ads, Amazon, etc.)
- Excellent communication abilities to effectively engage both technical and business audiences
- Master’s degree in Data Science, Statistics, Computer Science, or related quantitative field preferred
- Minimum 3+ years of data science experience with emphasis on consumer behavior analysis and sales measurement
- Prior experience with walled garden platform integration is highly valued
