Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
The Senior Manager – Data Engineering & Applied Data Science is responsible for leading the strategy, design, and delivery of enterprise data products, applied data science, and AI solutions that enable business growth and digital transformation. This role leads a multidisciplinary team responsible for Data Engineering and Applied Data Science, transforming business challenges into scalable, production-ready data and AI products.
The successful candidate combines strong technical leadership with business acumen to design data products that address business needs, build AI-ready data foundations, develop advanced analytics and machine learning solutions, and continuously evolve capabilities through the adoption of emerging technologies and engineering best practices. This role is also accountable for ensuring enterprise data is AI-ready—standardized, contextualized, governed, and optimized for analytics, machine learning, and Generative AI use cases.
- Lead Data & AI Solution Delivery – Translate business priorities into scalable enterprise data products, advanced analytics, machine learning, and AI solutions that deliver measurable business value.
- Drive Data Engineering Excellence – Lead the design and delivery of reliable, secure, and scalable data pipelines and products while establishing engineering standards across DataOps, CI/CD, automation, observability, and cloud-native development.
- Advance Applied Data Science & AI – Guide the development and production deployment of machine learning, Generative AI, and advanced analytics solutions, including reusable frameworks and scalable AI capabilities.
- Build AI-Ready Data Foundations – Ensure enterprise data products are trusted, governed, contextualized, and optimized for analytics and AI through strong data quality, metadata, lineage, semantic models, and accessibility.
- Shape Technology Strategy & Innovation – Develop technology roadmaps and evaluate emerging technologies and architectural patterns that accelerate AI adoption, improve engineering productivity, and strengthen enterprise data capabilities.
- Lead Teams & Strategic Partnerships – Build and develop high-performing Data Engineering and Applied Data Science teams while partnering across business, architecture, platform, security, and technology functions to align priorities, communicate outcomes, and drive execution.
REQUIREMENTS:
• Advanced Degree plus 6 years of experience, or Bachelor's Degree plus 8 years of experience in data science and analytics leadership roles
• Preferred Fields of Study: Data Science, Computer Science, Statistics, Mathematics, Analytics, or related field
• Advanced certifications in data science, machine learning, or AI technologies are valued
• Strong expertise in machine learning, AI, and statistical modeling techniques
• Advanced proficiency in programming languages including Python, R, and SQL
• Experience with major AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Demonstrated success leading and mentoring data science teams
• Expertise in data visualization tools (Tableau, Power BI) and BI platforms
• Proven track record of implementing large-scale data science solutions
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies
• Strong knowledge of data governance and regulatory compliance
• Excellent project management and cross-functional collaboration skills
• Outstanding communication abilities to translate technical concepts for diverse audiences
• Experience with Agile/Scrum methodologies
• Ability to travel up to 20% as needed
• Proven ability to deliver business results through data-driven insights
• Experience with automation tools and process optimization
• Strong problem-solving and analytical thinking capabilities
Compensation and Benefits
The salary range estimated for this position based in California is $152,000.00–$227,900.00.This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
A choice of national medical and dental plans, and a national vision plan, including health incentive programs
Employee assistance and family support programs, including commuter benefits and tuition reimbursement
At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
Skills Required
- Advanced degree plus 6 years of experience, or bachelor's degree plus 8 years of experience in data science and analytics leadership roles
- Degree or related education in Data Science, Computer Science, Statistics, Mathematics, Analytics, or a related field
- Strong expertise in machine learning, artificial intelligence, and statistical modeling techniques
- Advanced proficiency in Python, R, and SQL
- Experience with TensorFlow, PyTorch, and scikit-learn
- Experience leading and mentoring data science teams
- Expertise with Tableau, Power BI, and business intelligence platforms
- Experience implementing large-scale data science solutions
- Experience with AWS, Azure, or GCP and big data technologies
- Knowledge of data governance and regulatory compliance
- Project management and cross-functional collaboration skills
- Strong communication skills for translating technical concepts to diverse audiences
- Experience with Agile and Scrum methodologies
- Ability to travel up to 20% as needed
- Ability to deliver business results through data-driven insights
- Experience with automation tools and process optimization
- Advanced certifications in data science, machine learning, or AI technologies
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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