Job Description

How Will You Make an Impact? Thermo Fisher Scientific Inc. (NYSE: TMO) 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 of more than 100,000 colleagues 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. For more information, please visit www.thermofisher.com.
Responsibilities:

• Help build and lead a great data science team to deliver world-class products
• Understand the technical implementation as well as coaching and guiding the broader cross-functional and engineering teams to ensure a high level of technical execution
• Work with the team to define and manage the end-to-end process: scope projects, build pipelines and datasets, synthesize results, and communicate an informed recommendation.
• Work cross functionally with the rest of organization to influence product strategies and roadmaps, help build and influence a data informed decision making culture
• Build partnership and alignment with our data cross-functional partners, including Data Engineering, to author and develop core data sets and empower operational and exploratory analysis
• Establish strong partnership with executive level stakeholders in identifying opportunities, prioritize roadmaps, define and implement execution excellence, and coach and mentor team members
• Synthesize learnings and insights. Communicate a data narrative around product usage, tying this into the overall APJ Digital Commerce strategy
• Drive analytical rigor and guide predictive modeling, stats and ML initiatives for the broader organization
• Build/maintain reports, dashboards, and metrics to monitor the performance
• Cultivate culture of executional excellence and analytical rigor.

• Bachelor/Master’s Degree in Statistics, Applied Math or Computer Science

• 8+ years’ practical experience in data mining and statistical modeling
• 3+ years’ experience in team management

• Strong working experience with SQL, Databricks, Python/PySpark
• Excellent communication skills, ability to translate complex technical details for non-technical audiences