Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
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.
Working at the intersection of business and technology, you will partner with cross-functional teams to understand business needs, perform advanced analytics, and deliver scalable machine learning and AI solutions. You will apply techniques such as machine learning, natural language processing, and statistical modeling to solve complex commercial and operational challenges, including generating actionable recommendations delivered through platforms like Salesforce.
This role offers the opportunity to work with modern data platforms and cloud technologies (Databricks, AWS), contribute to production-grade data science solutions, and drive measurable business impact. The ideal candidate combines strong technical expertise, solid business acumen, and the ability to translate analytical outputs into clear, actionable insights.
KEY RESPONSIBILITIESCommercial 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
- Apply statistical analysis, experimental design, and hypothesis testing to evaluate performance and impact
- 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
- 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
- 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
- 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
Skills Required
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- 5+ years of experience in data science, machine learning, or a related field
- Strong programming skills in Python
- 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
- Effective communication skills with the ability to present technical concepts to diverse audiences
Thermo Fisher Scientific Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thermo Fisher Scientific and has not been reviewed or approved by Thermo Fisher Scientific.
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Retirement Support — Retirement programs include a strong company 401(k) match and an employee stock purchase plan that add meaningful long‑term value. Feedback suggests these features stand out among core financial benefits even when base pay feels average.
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Healthcare Strength — Health coverage offers multiple national medical options alongside dental and vision, with company‑paid life and disability coverage. This breadth is considered a solid foundation even if some costs may not be the lowest among peers.
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Parental & Family Support — Paid parental and caregiver leave, backup care, adoption assistance, and specialized family resources are available. Feedback suggests these supports are a notable plus for colleagues managing family and caregiving needs.
Thermo Fisher Scientific Insights
What We Do
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.
Why Work With Us
You will join a company which every colleague has the opportunity to create possibilities, for oneself, for our customers and patients. There is no more exciting place to be than at the forefront of solving problems which help improve lives around the world. As a company, we are committed to supporting your career aspirations and your journey.
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