Manager, Data Sciences

milan - Italy

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Work Schedule

Standard Office Hours (40/wk)

Environmental Conditions

Office

Job Description

JOB CODE:

.M07

JOB PROFILE:

Manager Data Sciences

BAND:

As part of the Thermo Fisher Scientific team youll 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 worlds 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 34 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 youll partner with multiple teams to gather requirements conduct thorough analyses and implement operational improvements. Youll 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 (PySpark 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 34 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:

Masters or PhD in Data Science Statistics Computer Science Applied Mathematics or related quantitative field
6 years of experience in data science including 13 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

Required Experience:

Manager

Work ScheduleStandard Office Hours (40/wk)Environmental ConditionsOfficeJob DescriptionJOB CODE:.M07JOB PROFILE:Manager Data SciencesBAND:7As part of the Thermo Fisher Scientific team youll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our M...