Senior Data Scientist

Job not on LinkedIn

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $105.6k - $140.6k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BeOne Medicines

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2010

🧬 Biotechnology

🏥 Healthcare

💊 Pharmaceuticals

Biotechnology • Healthcare • Pharmaceuticals

BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting the development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.

📋 Description

• Turn complex business and clinical challenges into actionable insights and AI-enabled decision solutions • Design, develop, and enhance analytical products using trusted data, advanced analytics, business context, and AI capabilities • Apply statistical analysis, predictive modeling, trend analysis, segmentation, and root cause analysis • Translate analytical findings into clear recommendations and compelling data stories • Explore and apply LLMs, AI agents, conversational analytics, and workflow automation • Build and experiment with AI-powered analytical experiences, including conversational BI, automated insights and narratives, intelligent recommendations, and proactive alerts • Develop AI-enabled workflows to improve efficiency, scalability, and user experience • Contribute to end-to-end development of decision intelligence products from requirements through continuous improvement • Partner with stakeholders and product managers to prioritize high-value solutions • Define and track KPIs, product adoption, and business outcomes • Develop reusable analytical tools, frameworks, and capabilities • Evaluate AI solution accuracy, reliability, and business usefulness • Support benchmark datasets, human-in-the-loop reviews, and ongoing performance monitoring • Apply responsible AI, data quality, privacy, and compliance practices in a regulated environment • Collaborate with Clinical Development, Statistics, Scientific Programming, Medical, Data Engineering, Product Management, and AI Engineering • Communicate complex analytical concepts and AI capabilities to technical and non-technical audiences • Experiment with new analytical methods, AI tools, and technologies • Share knowledge, contribute to technical best practices, and mentor colleagues

🎯 Requirements

• 2+ years of experience in Data Science, Advanced Analytics, Business Intelligence, Product Analytics, Machine Learning, or a related analytical field • Strong proficiency in Python and SQL • Hands-on experience analyzing complex datasets, developing analytical solutions, and building reusable code or tools • Strong analytical thinking and problem-structuring skills • 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 • Ability to communicate complex analytical findings clearly to technical and non-technical audiences and collaborate effectively with cross-functional stakeholders • Proactive, hands-on approach to problem-solving, with curiosity, adaptability, and enthusiasm for learning and applying emerging AI technologies • 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 • Preferred: experience or exposure to 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) • FSA/HSA • Life Insurance • Paid Time Off • Wellness