Senior Data Science Analyst at Dotz developing predictive models for credit management. Responsible for validating and monitoring statistical models and evaluating financial impacts.
About the role
- Data Scientist at Genmab focusing on advanced analytics and machine learning solutions. Partnering with domain experts to embed data-driven decision making in biotech.
Responsibilities
- Build and maintain interactive dashboards and reports (Power BI / Tableau / Looker) with well-defined KPIs and drill paths
- Build, validate, and deploy predictive & generative ML/AI models for prioritized use cases within functional area
- Design robust features, experiments, and statistical analyses that meet GxP / GDPR / FAIR requirements
- Operationalize models via MLOps pipelines (CI/CD, containerization, automated monitoring) on cloud platforms, aligned with established standards
- Evaluate emerging data sources, algorithms, and GenAI methods; pilot and scale high-impact innovations
- Document methodology and results with audit-ready rigor; align with and contribute to data-governance best practices
- Collaborate in cross-functional product squads to ensure on-time, on-budget delivery
Requirements
- Master’s/PhD in Data Science, Computer Science, Bioinformatics, Statistics, or related quantitative field
- Experience in applying ML/AI, preferably in biotech, pharma, or regulated healthcare
- Expert Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL; knowledge of other programming languages a plus
- Hands-on experience with cloud data & ML stacks (AWS/Azure/GCP, Databricks, Snowflake) and MLOps toolchains
- Experience with emerging AI approaches such as prompting, agentic approaches, retrieval augmentation, etc.
- Track record working with data relevant to TechOps domains (manufacturing, supply chain, …)
- Knowledge of GxP, GDPR, HIPAA, and responsible-AI principles
- Strong communications skills—able to convert complex analyses into compelling business narratives
- Growth mindset, thrives in agile, cross-functional teams, and champions a culture of innovation
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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