Sr Manager, Data Sciences

at  Thermo Fisher Scientific

JOB DESCRIPTION

We are looking for a Sr Manager, Data Sciences who will be responsible for building a new function supporting our product, sales, leadership, market development- and marketing teams with insights gained from analyzing company data from multiple sources. The ideal candidate is adept at analyzing large data sets to find opportunities for targeted and scalable sales- and marketing initiatives. This includes extracting meaningful insights to guide Marketing and Sales enablement programs.
They must have strong experience using a variety of data mining/data analysis methods, multiple data tools, building and implementing models, using/creating algorithms and crafting/running simulations. They have a proven track record to drive business results with their data-based insights. They must be comfortable working with a wide range of collaborators and cross-functional teams!
The right candidate has a passion for discovering solutions hidden in large data sets and working with team members to improve business outcomes!
Are you ready to take on an exciting challenge creating a brand new function in our team?

REQUIRED SKILLS AND QUALIFICATIONS

• Seven or more years of experience in data science
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced experience in pattern recognition and predictive modeling
• Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS)
• Ability to work effectively in a dynamic and innovative group that runs global, cross-functional projects.

PREFERRED SKILLS AND QUALIFICATIONS

• Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related field
• Two or more years of project management experience
• Two or more years of managing a team

OBJECTIVES OF THIS ROLE

• Collaborate with product design and engineering teams to develop an understanding of needs
• Research and devise innovative statistical models for data analysis
• Communicate findings to multiple teams in IDD
• Enable business processes by using analytics for meaningful insights
• Keep current with technical and industry developments

RESPONSIBILITIES

• Serve as senior manager to identify and integrate new datasets that can be maximised through our cross functional capabilities, and work closely with the global marketing team in the development of viable data products.
• Identify relevant data sources and sets to mine for internal- and external customer needs, and collect large structured and unstructured datasets and variables.
• Devise and apply algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
• Analyze data for trends and patterns, and interpret data with clear objectives in mind
• Implement analytical models in production by collaborating with software developers and machine-learning engineers