Senior Analyst, Data Science

Acadia Pharmaceuticals • San Diego, CA

5h • Hybrid

About The Position

The Sr. Analyst, Data Science transforms complex, high-volume data into actionable insights that support informed decision-making across the organization. Applying advanced statistical methods, machine learning, and rigorous analytical approaches, this role partners with product, engineering, marketing, and operations to address high-impact business questions. The focus is on producing reliable, decision-ready analyses that connect data to measurable outcomes and guide strategic execution.

Requirements

• Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, Economics or a related field.
• Targeting 3 years of progressively responsible experience in data science or an advanced analytics role, preferably in a pharmaceutical or biotech environment.
• An equivalent combination of relevant education and experience may be considered.
• Proficiency in Python or R for data analysis and modeling
• Strong SQL and Snowflake skills and experience working with large-scale data systems
• Experience with statistical modeling, machine learning, and A/B testing methodologies
• Excellent communication and presentation skills
• Ability to work independently and manage multiple priorities in a fast-paced environment
• Experience with cloud platforms such as AWS, GCP, or Azure
• Ability to manage multiple priorities and work cross-functionally in a fast-paced environment
• Must be able and willing to travel on occasion

Nice To Haves

• Familiarity with data visualization tools like Tableau, Power BI, or Looker
• Knowledge of modern ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow)
• Background in a specific domain (e.g., fintech, e-commerce, healthcare) is a plus

Responsibilities

• Design, develop, and implement predictive models and machine learning algorithms to solve complex business problems
• Analyze large, complex datasets to uncover trends, patterns, and opportunities for optimization, including Medical Claims, Procedure, HUB, SP, SD, LTC and Prescription data sets
• Ensure data accuracy and integrity by performing regular system audits and resolving discrepancies to maintain reliable datasets for analytics and decision-making
• Conduct A/B tests, statistical analyses, and causal inference to evaluate business initiatives and product changes
• Translate business needs into data requirements and collaborate with data engineering to ensure high-quality data availability
• Communicate data-driven insights and recommendations clearly and effectively to both technical and non-technical stakeholders
• Develop dashboards and data visualizations to monitor key performance indicators (KPIs) and business health
• Stay current with industry trends, tools, and best practices in data science and analytics
• Other responsibilities as assigned

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level