Senior Data Scientist – Customer Experience

Required Qualifications

• Bachelor’s degree or higher in a related field, with a focus on data science, statistics, or a related quantitative discipline.
• 3-5 years of relevant experience in data science, with a demonstrated ability to conduct deep-dive analyses, diagnose metric shifts, and apply pragmatic modeling techniques to drive business impact.
• Proficiency in applied statistics and practical machine learning, with knowledge of causal inference, experimentation (A/B testing), forecasting, and regression.
• Advanced proficiency in SQL for complex data extraction and manipulation, alongside a working knowledge of data pipelining tools (e.g., dbt, Airflow) to self-serve when necessary.
• Proficiency in programming languages such as Python for data analysis, automation, and modeling.
• Working knowledge of Business Intelligence tools (e.g., Tableau, Sigma), with a strong understanding of best practices for dashboarding and data visualization to communicate insights.
• Hands-on experience designing and deploying AI/LLM-based solutions.
• Strong communication skills, with the ability to convey complex concepts clearly and effectively to stakeholders.
• Strong organizational skills, with the ability to manage multiple projects and deadlines effectively.
• A tech-curious mindset with a willingness to learn new technologies and methodologies to stay at the forefront of data science innovation.