A/B Testing, Amazon Web Services (AWS), Analysis Skills, Communication Skills, Customer Acquisition, Customer/Consumer Behavior, Data Science, Data Sets, Econometrics, Ecosystems, Machine Learning, Marketing, Predictive Modeling, Problem Solving Skills, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Statistical Modeling, Statistics, Workflow Analysis
Location: Remote
Type: Full-Time
Job Summary We are seeking a Senior Data Scientist with strong expertise in statistical modeling, experimentation, and customer analytics. The role focuses on marketing optimization, customer behavior analysis, A/B testing, predictive modeling, and delivering scalable analytics solutions in a large-scale data environment.
Must-Have Skills - Strong expertise in Python and SQL
- Experience with statistical modeling and predictive analytics
- Hands-on experience with A/B testing and experimentation frameworks
- Knowledge of causal inference methodologies
- Experience working with large-scale datasets
- Strong analytical, problem-solving, and communication skills
- Experience building scalable analytical workflows
Key Responsibilities - Build machine learning and statistical models for customer analytics
- Analyze customer acquisition, engagement, retention, and conversion trends
- Design and evaluate A/B tests and experimentation frameworks
- Apply causal inference and advanced statistical techniques
- Translate business problems into analytical solutions
- Develop scalable workflows using Python and SQL
- Present analytical insights to business and technical stakeholders
Nice to Have - Experience in Marketing Analytics / Customer Analytics / Digital Analytics
- Exposure to AWS analytics ecosystem (Redshift, SageMaker)
- Experience building production-ready ML models
- Master's degree in Statistics, Econometrics, Data Science, or related field