Sr Manager, Data Sciences

at  Thermo Fisher Scientific

JOB DESCRIPTION

At Thermo Fisher Scientific, our Finance teams are important to our business to make educated, sound decisions that drive our Mission and make us a stable and trusted industry leader.
In Finance Digital Transformation, we enable our global finance teams to be effective and innovative with the implementation of new technology solutions. We are looking for a Senior Manager, Data Sciences to join our group!
This role can be based in our Raleigh/Wilmington, NC offices, our Pittsburgh, PA office or our Waltham MA office and offers a hybrid schedule of 3 days/office and 2 days/home each week.

REQUIREMENTS:

• Bachelor’s degree in MIS, Data Science, Computer Science, Mathematics, or related field (Master’s preferred)
• 8+ years’ experience in data science roles with multifaceted responsibilities and scope
• Experience in building artificial intelligence models and analyzing complex data sets.
• Proficiency in programming languages such as SQL, R, and Python.
• Expertise in data reporting tools like Power BI, Tableau, and SAS Analytics.
• Strong social skills and ability to meet objectives.
• Knowledge of Agile/Scrum methodology
  Benefits
  We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!
  Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory with PPD, part of Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.
  Apply today! http://jobs.thermofisher.com
  Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
  Accessibility/Disability Access

Job Seekers with a Disability: Thermo Fisher Scientific offers accessibility service for job seekers requiring accommodations in the job application process. For example, this may include individuals requiring assistance because of hearing, vision, mobility, or cognitive impairments. If you are a job seeker with a disability, or assisting a person with a disability, and require accessibility assistance or an accommodation to apply for one of our jobs, please submit a request by telephone at 1-855-471-2255*. Please include your contact information and specific details about your required accommodation to support you during the job application process.

• This telephone line is reserved solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes, such as not being able to get into the career website, following up on an application, or other non-disability related technical issues will not receive a response.

• Work closely with colleagues across departments to understand common challenges and opportunities. Use this knowledge to develop data science solutions for a large global finance team and our valued customers.
• Lead efforts to identify predictive drivers, trends, outliers, and patterns to help guide enterprise-wide business insights
• Develop data science solutions from ideation to scenario testing, driving efficiency, productivity, and revenue.
• Apply sophisticated analytics and data visualization techniques to extract actionable insights that reveal revenue and efficiency opportunities.
• Lead and support a team of specialists in data engineering, business intelligence and artificial intelligence.