**Work Schedule** Standard (Mon-Fri) **Environmental Conditions** Office **DESCRIPTION**:
Join our team at Thermo Fisher Scientific as a **Data Scientist III** within the Data Science Center of Excellence. In this role, you will contribute to improving business efficiency and decision-making across the enterprise by developing and deploying data-driven insights and solutions. **KEY RESPONSIBILITIES**:
**Commercial Analytics & Solution Development**: - Design, develop, and validate predictive models, optimization algorithms, and recommendation systems
- Translate business problems into analytical approaches that drive measurable outcomes (e.g., revenue growth, conversion rates, operational efficiency)
- Develop scalable, interpretable, and actionable insights and recommendations for business stakeholders
- Partner with Sales, Marketing, Commercial Operations, Product, and IT to refine use cases and support adoption **Technical Execution & Data Engineering Collaboration**: - Build, train, and deploy machine learning models using Python-based tools (e.g., scikit-learn)
- Work with large-scale data using cloud platforms and distributed computing tools (Databricks, Spark, AWS)
- Collaborate with Data Engineers to source, transform, and manage data across complex data environments
- Contribute to the development and maintenance of data pipelines and ETL processes
- Use SQL for data exploration, transformation, and validation
- Support model operationalization and integration into business systems, including Salesforce workflows **Visualization, Communication & Continuous Improvement**: - Develop dashboards and visualizations using tools such as Power BI or Tableau
- Communicate findings and recommendations clearly to both technical and non-technical audiences
- Contribute to best practices in experimentation,



documentation, version control, and code quality
- Monitor model performance, adoption, and business impact, and iterate on solutions as needed
- Stay current with emerging technologies, tools, and industry trends in data science and AI **REQUIREMENTS**:
**Minimum Qualifications**: - Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
- **5+ years of experience** in data science, machine learning, or a related field
- Strong programming skills in Python (experience with R is a plus) and SQL
- Experience developing and deploying machine learning models in production environments
- Hands-on experience with cloud platforms (AWS preferred) and big data tools (Spark, Databricks)
- Experience with data visualization tools (Power BI, Tableau)
- Familiarity with ETL processes, data pipelines, and version control systems (Git)
- Solid understanding of statistical analysis, experimental design, and hypothesis testing
- Strong problem-solving skills and ability to translate business needs into analytical solutions
- Effective communication skills with the ability to present technical concepts to diverse audiences **Preferred Qualifications**: - Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field **and 3+ years of experience** in data science or a related field
- Experience in B2B, life sciences, healthcare, or related industries
- Experience building recommendation systems or sales optimization models
- Familiarity with Salesforce data models and CRM workflows
- Experience with natural language processing (NLP) techniques
- Understanding of MLOps, DevOps practices, and model lifecycle management
- Experience measuring model performance, user adoption, and business impact

📌 Data Scientist Iii (Milano)
🏢 Thermo Fisher Scientific
📍 Milano