Senior Data Analyst

JOB RESPONSIBILITIES
• Lead the design and execution of advanced machine learning and causal inference models to measure and optimize omnichannel engagement strategies.
• Exercise independent judgment in methods, techniques, and evaluation criteria on data science projects, overseeing the end-to-end process from problem definition to model implementation.
• Work with large-scale healthcare datasets, including claims data, prescription data, digital engagement logs, and survey data, to derive insights on HCP behavior.
• Partner with commercial, marketing, and business development teams to translate data insights into strategic recommendations that enhance customer engagement.
• Act as a key data science representative in client engagements, effectively communicating insights, methodologies, and recommendations to both technical and non-technical stakeholders.
• Have broad analytics experience or innovative knowledge and use skills to contribute to achieving client objectives in creative and effective ways.
• Foster innovation by exploring and integrating emerging technologies and methodologies.


QUALIFICATION REQUIREMENTS
• Master's degree or equivalent experience in Data Science, Computer Science, Mathematics, Statistics, or a related field. PhD is preferred.
• Proficiency with programming languages like Python, R, and SQL.
• Experience applying causal inference techniques (e.g., causal impact analysis, uplift modeling, DoWhy) to marketing and engagement analytics.
• Strong background in predictive modeling, classification, segmentation, and optimization.
• Familiarity with healthcare and commercial biopharma data sources such as claims data, HCP interaction logs, and prescription data.
• Experience engaging with clients and strong ability to bridge the gap between technical and business audiences.
• Ability to translate complex data science concepts into strategic business insights for non-technical stakeholders.
• Experience deploying models in cloud-based environments (AWS, Azure, or GCP) is a plus.
• Strong problem-solving skills, intellectual curiosity, and a proactive approach to driving impact through data science.