Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Transform intricate business and clinical challenges into actionable insights and AI-driven decision-making solutions.

• Design, develop, and refine analytical products utilizing reliable data, advanced analytics, business context, and AI capabilities.

• Implement statistical analysis, predictive modeling, trend analysis, segmentation, and root cause analysis.

• Convert analytical results into clear recommendations and engaging data narratives.

• Investigate and utilize LLMs, AI agents, conversational analytics, and workflow automation.

• Create and test AI-enhanced analytical experiences, including conversational BI, automated insights and narratives, intelligent recommendations, and proactive alerts.

• Develop AI-enabled workflows to enhance efficiency, scalability, and user experience.

• Participate in the complete development of decision intelligence products from requirements through ongoing enhancements.

• Collaborate with stakeholders and product managers to prioritize high-impact solutions.

• Define and monitor KPIs, product adoption, and business outcomes.

• Create reusable analytical tools, frameworks, and capabilities.

• Assess the accuracy, reliability, and business applicability of AI solutions.

• Support benchmark datasets, human-in-the-loop reviews, and continuous performance monitoring.

• Implement responsible AI, data quality, privacy, and compliance practices within a regulated environment.

• Work together with Clinical Development, Statistics, Scientific Programming, Medical, Data Engineering, Product Management, and AI Engineering.

• Articulate complex analytical concepts and AI capabilities to both technical and non-technical audiences.

• Test new analytical methods, AI tools, and technologies.

• Share knowledge, contribute to technical best practices, and mentor peers.

⛳️ Requirements

• A minimum of 2 years of experience in Data Science, Advanced Analytics, Business Intelligence, Product Analytics, Machine Learning, or a similar analytical field.

• High proficiency in Python and SQL.

• Practical experience analyzing complex datasets, creating analytical solutions, and developing reusable code or tools.

• Strong analytical thinking and problem-structuring abilities.

• Capability to transform ambiguous business inquiries into structured analyses, meaningful insights, and actionable recommendations.

• Experience in defining and analyzing KPIs, developing performance metrics, identifying trends, and utilizing data to inform business decisions.

• Proficiency in conveying complex analytical findings clearly to both technical and non-technical audiences and collaborating effectively with cross-functional teams.

• Proactive, hands-on approach to problem-solving, with a sense of curiosity, adaptability, and enthusiasm for learning and applying emerging AI technologies.

• A Master's or PhD is preferred in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, Life Sciences, or a related quantitative field, or equivalent practical experience.

• Preferred: familiarity or experience with LLMs, prompt engineering, AI agents, RAG, conversational AI, AI-enabled analytical workflows, AI-assisted development tools, Databricks AI/BI Genie, Databricks, Spark, cloud data platforms, R, Posit/RStudio Workbench, Git, collaborative development environments, automated analytical workflows, and regulated industries.

🏝️ Benefits

• Annual bonus plan for non-commercial roles.

• Incentive compensation plan for commercial roles.

• Discretionary equity awards.

• Employee Stock Purchase Plan.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) plan.

• FSA/HSA options.

• Life Insurance coverage.

• Paid Time Off.

• Wellness programs.