Work Schedule

Standard Office Hours (40/wk)

Environmental Conditions

Office

Job Description

JOB CODE:

ITC.DSCI.M07

JOB PROFILE:

Manager, Data Sciences

BAND:

7

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:

As a Manager, Data Sciences working in the Data Science Center of Excellence, you will be part of a team dedicated to increasing the business efficiency of a Fortune 200 Company. We are seeking an experienced Manager of Data Science to lead a team of 3–4 early to mid-career data scientists focused on generating actionable commercial insights and recommendations. This team will develop, deploy, and continuously improve data-driven recommendations delivered directly to commercial sales representatives through Salesforce.

Working at the intersection of business and technology, you'll partner with multiple teams to gather requirements, conduct thorough analyses, and implement operational improvements. You'll leverage advanced technologies, including Machine Learning, Natural Language Processing, and Large Language Models, to enhance data processes and create sophisticated algorithmic solutions. This position offers the opportunity to shape the future of data-driven decision-making while collaborating with shared services teams. The ideal candidate combines strong technical depth in modern data platforms (Py Spark and MLFlow in Databricks, AWS) with demonstrated people leadership, business acumen, and the ability to translate advanced analytics into measurable commercial impact.

KEY RESPONSIBILITIES

Team Leadership & Talent Development:

• Lead, mentor, and develop a team of 3–4 data scientists, fostering technical excellence and business alignment
• Provide clear prioritization, performance management, and career development guidance
• Establish best practices in experimentation, model development, documentation, and code review
• Promote a collaborative, results-driven team culture

Commercial Analytics & Recommendation Development:

• Oversee the design and development of predictive models, optimization algorithms, and recommendation systems
• Translate commercial objectives into analytical solutions that drive measurable impacts to attributed revenue, qualification rates, and conversion rates
• Ensure recommendations are scalable, explainable, and actionable for sales representatives
• Partner with Project Management and Product Management to understand team and program priorities and align team performance to broader department goals
• Work with Sales, Marketing, Commercial Operations, and IT to refine use cases and ensure adoption

Platform & Technical Execution:

• Partner closely with Data Engineers to understand complex data landscape and help team navigate to find the right data sources
• Guide development and deployment of solutions using Databricks and AWS
• Ensure proper use of cloud- native tools and distributed data processing frameworks
• Oversee data engineering collaboration to ensure reliable data pipelines and correct integration of data into models
• Maintain strong working knowledge of SQL for data exploration, transformation, and validation
• Drive model operationalization and integration into Salesforce workflows

REQUIREMENTS:

Minimum Qualifications:

• Master's or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, or related quantitative field
• 6+ years of experience in data science, including 1–3 years of people management experience
• Proven experience leading data science teams delivering business- facing solutions
• Hands- on experience with Databricks and AWS environments
• Strong SQL proficiency and experience with Power BI
• Experience deploying models into production environments
• Demonstrated ability to translate analytics into commercial impact
• Experience with version control / source code management systems (Git, GitHub)
• Excellent written and oral communication skills, including an ability to communicate across people of varying technical and business acumen

Preferred Qualifications:

• Experience working within a B2B business environment desirable but not required
• Experience building recommendation systems or sales optimization models
• Familiarity with Salesforce data models and CRM workflows
• Knowledge of MLOps best practices
• Experience measuring adoption and impact of analytics solutions