Roche
Healthcare
DataScientist-AppliedAI
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist - Applied AI at Roche. Skills: Machine Learning, Applied AI, Data Science, Predictive Modeling. Design machine learning and AI-enabled solutions. Develop machine learning and AI-enabled solutions”
Industry & Context.
Complex business problems; Analytical approaches
What They're Looking For.
Must Have
Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related quantitative field, 5+ years of experience in data science, applied AI, machine learning, or advanced analytics solution development, experience designing, developing, evaluating, and deploying machine learning models for business applications
Nice to Have
PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, dbt Certified certification
What You'll Do.
Design machine learning and AI-enabled solutions
Develop machine learning and AI-enabled solutions
Deploy machine learning and AI-enabled solutions
Apply advanced analytics
Apply statistical modeling
Apply machine learning techniques
Apply emerging AI techniques
Lead exploratory data analysis
Lead feature engineering
Lead model validation
Lead performance evaluation
Design modeling approaches
Evaluate modeling approaches
Establish evaluation metrics
Optimize models for scalability
Optimize models for reliability
Optimize models for business impact
Partner with business stakeholders
Translate business challenges into analytical approaches
Translate business challenges into machine learning solutions
Translate business challenges into scalable intelligence capabilities
Support data-driven prioritization
Support strategic decision making
Collaborate with AI teams
Collaborate with data teams
Collaborate with engineering teams
Operationalize AI-enabled capabilities
Support adoption of scalable intelligence solutions
Evaluate modern AI techniques
Apply modern AI techniques
Enhance partnering operations
Enhance decision making
Design analytics solutions
Develop analytics solutions
Develop intelligence capabilities
Improve visibility into partnering operations
Improve visibility into opportunities
Improve visibility into portfolio activities
Support development of operational intelligence capabilities
Enable proactive business decisions
Enable informed business decisions
Collaborate with architecture teams
Support operationalization of machine learning solutions
Support operationalization of AI-enabled solutions
Support scalable deployment of AI
Support monitoring of AI
Support observability of AI
Support lifecycle management of AI
Communicate analytical findings
Communicate model outputs
Communicate AI-driven insights
Support business understanding
Support stakeholder decision making
Translate complex analytical concepts
Translate machine learning concepts
Work in cross-functional Agile environment
Collaborate with product owners
Collaborate with data engineers
Collaborate with architects
Collaborate with vendors
Collaborate with business stakeholders
Continuously improve AI capabilities
Continuously improve analytics solutions
Continuously improve operational intelligence
Contribute to evolving AI practices
Contribute to evolving engineering standards
Contribute to evolving experimentation frameworks
Contribute to continuous improvement initiatives
How You'll Work.
Team & Collaboration
Cross-functional agile teams; Partnering Digital Solutions ecosystem; Product teams; AI teams; Data teams; Engineering teams; Architecture teams; External research institutions
Communication Scope
Data storytelling; Clear visualizations; Presentations; Storytelling; Business insights
Process & Methodology
Agile
Full Job Description
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. ## ### The Position ****Data Scientist - Applied AI**** ****About Our Team: Partnering Digital Solutions**** Join our Partnering Digital Solutions team, a strategic group focused on maximizing partnership impact through digital and AI-enabled ecosystems to advance the Pharma and DIA Partnering business. We are at the forefront of innovation - building scalable data infrastructure, applying advanced data engineering practices, and integrating cutting-edge external capabilities to accelerate decision-making and unlock business value. Our work spans across multiple high-impact initiatives, from developing intelligent data products to enabling end-to-end AI workflows. Whether it’s structuring complex data ecosystems or collaborating with external research institutions, this is a unique opportunity to help shape the future of data and AI at Roche by directly supporting key strategic decisions across our global Partnering organization. ****Responsibilities**** As a Data Scientist, you will play a critical role in shaping and delivering AI and machine learning capabilities across the Partnering Digital Solutions ecosystem. You will work closely with product owners, data engineers, architects, and business stakeholders to develop scalable machine learning models, intelligent workflows, and data-driven solutions that improve visibility, prioritization, operational efficiency, and strategic decision making. This role focuses on applied AI, machine learning, predictive modeling, and operational intelligence rather than purel
Applying for this Data Scientist - Applied AI role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Roche?
Real rants from real employees. Read before you apply.