When you join us at Thermo Fisher Scientific, you'll be part of a hard-working, driven team that shares your passion for exploration and discovery.
With revenues of $22 billion and the largest investment in R&D in the industry, we give our people the resources and opportunities to make significant contributions to the world.
If you are passionate about how the intersection of data science, analytics, and data visualization come together to tell a story and drive decision-making within a world-leading life science company, then this is the role for you!
You are inquisitive by nature, and tend to always ask the "why" in every situation.
Your curious demeanor fuels your insatiable appetite for learning and you have a fascination for data mining and building models and algorithms within a large, complex organization.
You also need to be a critical thinker with the ability to work with imperfect data and continuously test/learn.
Key Responsibilities:
- Identify and present predictive drivers/leading indicators, trends, outliers, and patterns that uncover new insights to help guide enterprise-wide business insights
- Perform AB & multi-variate testing to measure impact of identified initiatives
- Build optimization models for scenario testing future business outcomes based on internal and external data
- Be able to 'tell a story' using advanced analytics and data visualization techniques while independently exploring useful insights that identify incremental revenue and efficiency opportunities within the financial COE team
- Derive data driven insights in close partnership with Finance, Operations, Commercial, and Data Science teams to expose opportunities for revenue and cost optimization with resource allocation
- Leverage visualization tools such as Power BI, Tableau, and SAS Visual Analytics to perform interactive data exploration that help businesses and senior leaders understand impact of seen opportunities
- Performs other duties as assigned
Requirements/Qualifications:
- Bachelor's degree in Mathematics, Computer Science, Data Science, Applied Statistics, or a related field, Master's preferred
- 2-4 years' experience building statistical modelling tools & underlying algorithms, optimization / machine learning, and data mining models
- Experience analyzing large, complex data sets yielding opportunities for revenue and/or process improvement within an organization
- Ability to problem solve and identify creative solutions.
- Programming experience (SQL, R, Python) required.
Databricks experiences a plus.
- Understanding of data lakes and relational databases
- Experience in data visualization tools (Power BI, Tableau, SAS Analytics) a plus
- Interpersonal skills: exceptional verbal/written communication, listening and presentation skills with attention to detail
- Proven track record of achieving desired results without direct report authority
- Knowledge of Agile/Scrum methodology a plus
- Minimal travel required