Senior Manager, Data Engineering – Applied Data Science

Thermo Fisher Scientific

. Lead the strategy, design, and delivery of enterprise data products, applied data science, and AI solutions .

Posted 10/20/2026full-timeUnited StatesSenior💰 $152,000 - $227,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the strategy and delivery of enterprise data products, machine learning, and AI solutions, while ensuring data governance and compliance. Proven ability to build high-performing teams and drive execution through collaboration across various business functions.

Highest-signal resume keywords

Machine Learning ExpertiseAdvanced Python ProficiencyData Governance KnowledgeExperience with AWS and AzureProject Management Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI SolutionsStatistical ModelingData ScienceData AnalyticsPythonRSQLTensorFlowPyTorch

Soft Skills

Cross-Functional CollaborationOutstanding CommunicationProblem-SolvingAnalytical ThinkingMentoring

Tools & Technologies

TableauPower BIBI PlatformsAWSAzureGCPBig Data TechnologiesAutomation ToolsDataOpsCI/CD

Certifications & Qualifications

Advanced Data Science CertificationMachine Learning CertificationAI Technologies Certification

Industry Keywords

Data GovernanceRegulatory ComplianceAgileScrumData Pipelines

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

Key responsibilities & impact

Lead the strategy, design, and delivery of enterprise data products, applied data science, and AI solutions
Translate business priorities into scalable enterprise data products, advanced analytics, machine learning, and AI solutions
Lead the design and delivery of reliable, secure, and scalable data pipelines and products
Establish engineering standards across DataOps, CI/CD, automation, observability, and cloud-native development
Guide the development and production deployment of machine learning, Generative AI, and advanced analytics solutions
Develop reusable frameworks and scalable AI capabilities
Ensure enterprise data products are trusted, governed, contextualized, and optimized for analytics and AI
Develop technology roadmaps and evaluate emerging technologies and architectural patterns
Build and develop high-performing Data Engineering and Applied Data Science teams
Partner across business, architecture, platform, security, and technology functions to align priorities, communicate outcomes, and drive execution

Requirements

What you’ll need

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 Python, R, and SQL
Experience with TensorFlow, PyTorch, and scikit-learn
Demonstrated success leading and mentoring data science teams
Expertise in Tableau, Power BI, and BI platforms
Proven track record implementing large-scale data science solutions
Experience with 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

Benefits

Comp & perks

Variable annual bonus based on company, team, and/or individual performance results
National medical and dental plans
National vision plan
Health incentive programs
Employee assistance and family support programs
Commuter benefits
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
Short- and long-term disability
Competitive 401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP) with discounted company stock purchases