Senior Data Scientist - E-Commerce

When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.

The Data Insights (DI) team is seeking a highly motivated Senior Data Scientist to transform trusted enterprise data into AI-enabled decision intelligence that drives faster, smarter, and more effective decisions across Clinical Development and Operations.
Going beyond traditional data science and business intelligence, this role combines advanced analytics, AI, domain expertise, and product thinking to design, develop, and continuously improve scalable decision products, intelligent automation, and AI-powered analytical solutions.
As a hands-on contributor, you will partner with business stakeholders, product managers, data engineers, software engineers, AI scientists, statisticians, and clinical experts to solve complex business challenges, identify high-value opportunities, and translate insights into actionable decisions and measurable outcomes.
Success will be measured not only by analytical excellence, but also by product adoption, business impact, AI-enabled productivity gains, and the ability to turn data into meaningful decisions.
This role offers an opportunity to apply emerging AI technologies to real-world challenges in biotechnology and pharmaceuticals - helping accelerate drug development and ultimately improve patient outcomes.
Decision Intelligence & Advanced Analytics
· Turn complex business and clinical challenges into actionable insights and AI-enabled decision solutions that improve business performance and support better patient outcomes.
· Design, develop, and enhance analytical products by combining trusted data, advanced analytics, business context, and AI capabilities.
· Apply statistical analysis, predictive modeling, trend analysis, segmentation, and root cause analysis to uncover opportunities, identify risks, and support better decisions.
· Translate analytical findings into clear recommendations and compelling data stories that help stakeholders take action.
AI-Enabled Analytics & Intelligent Automation
· Explore and apply emerging AI technologies, including large language models (LLMs), AI agents, conversational analytics, and workflow automation, to solve real-world business problems.
· Build and experiment with AI-powered analytical experiences, such as conversational BI, automated insights and narratives, intelligent recommendations, and proactive alerts.
· Identify opportunities to simplify repetitive analytical tasks and develop AI-enabled workflows that improve efficiency, scalability, and user experience.
Contribute to the end-to-end development of decision intelligence products, from understanding user needs and defining requirements to building, launching, and continuously improving solutions.
· Define and track key performance indicators (KPIs), product adoption, and business outcomes to understand what works and guide continuous improvement.
· AI Quality, Evaluation & Responsible AI
· Evaluate the accuracy, reliability, and business usefulness of AI-enabled analytical solutions using practical testing, evaluation metrics, and user feedback.
· Support the development of AI evaluation approaches, including benchmark datasets, human-in-the-loop (HITL) reviews, and ongoing performance monitoring.
· Apply responsible AI principles and appropriate data quality, privacy, and compliance practices when developing solutions in a regulated environment.
Work closely with colleagues across Clinical Development, Statistics, Scientific Programming, Medical, Data Engineering, Product Management, and AI Engineering to solve meaningful business challenges.
· Communicate complex analytical concepts and AI capabilities in clear, practical terms to technical and non-technical audiences.
· Stay curious and experiment with new analytical methods, AI tools, and technologies, bringing promising ideas into practical applications.
· Experience: 2+ years of experience in Data Science, Advanced Analytics, Business Intelligence, Product Analytics, Machine Learning, or a related analytical field.
· Technical Skills: Strong proficiency in Python and SQL, with hands-on experience analyzing complex datasets, developing analytical solutions, and building reusable code or tools.
· Strong analytical thinking and problem-structuring skills, with the ability to translate ambiguous business questions into structured analyses, meaningful insights, and actionable recommendations.
· Experience defining and analyzing KPIs, developing performance metrics, identifying trends, and using data to support business decisions.
· A proactive, hands-on approach to problem-solving, with curiosity, adaptability, and enthusiasm for learning and applying emerging AI technologies.
Preferred Qualifications — AI, Data Platforms & Domain Experience
· Generative AI & Intelligent Automation: Experience or hands-on exposure to LLMs, prompt engineering, AI agents, retrieval-augmented generation (RAG), conversational AI, or AI-enabled analytical workflows.
· AI-Native Development: Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, or similar tools to accelerate coding, experimentation, and analytical solution development.
· AI-Enabled Analytics: Exposure to Databricks AI/BI Genie or similar conversational analytics and natural-language data exploration platforms.
· AI Product Development: Experience prototyping, developing, or improving AI-enabled analytical applications, decision-support tools, or intelligent automation solutions.
· AI Quality & Evaluation: Familiarity with AI evaluation methods, human-in-the-loop (HITL) workflows, model monitoring, or responsible AI practices.
· Modern Data Platforms: Experience with Databricks, Spark, cloud data platforms, or large-scale data processing and exploratory data analysis.
· Experience in biotechnology, pharmaceuticals, clinical development, healthcare analytics, or other regulated industries is a plus.
Master’s or PhD preferred in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, Life Sciences, or a related quantitative field, or equivalent practical experience.
When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.
Analytical Thinking/Data Analysis
Financial Excellence
Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.
BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact