Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming, AWS
What Will You Be A Part Of?
The IT Data Science Analyst for Laboratory Chemicals Division (LCD) is responsible developing and maintaining the divisional data stores needed to provide crucial business insights across the Division. LCD is looking for a business-facing Data Science Analyst that will help us discover the insights hidden in company data. The selected candidate will help the LCD division make smarter decisions to help our customers make the world healthier, cleaner and safer. The role must work closely with Business Intelligence, other IT functions, and functional analysts across Thermo Fisher scientific to drive projects focused on improvements to information to support divisional business insights and analytics. The primary focus will be in applying data mining techniques, doing statistical analysis, and generating business insights that deliver value to the company and our customers. This role will require strong partnership with regional and functional analysts to develop, and execute, various reporting, analytics, and dashboard initiatives.
What Will You Do?
How Will You Get Here?
Key Success Factors:
Thermo Fisher Scientific is an American provisioner of scientific instrumentation, reagents and consumables, and software and services to healthcare, life science, and other laboratories in academia, government, and industry (including in the biotechnology and pharmaceutical sectors). Based in Waltham, Massachusetts, Thermo Fisher was created in 2006 by the merger of Thermo Electron and Fisher Scientific, to form a company with US$ 9 billion.
South San Francisco, CA, USA
2-4 year
Bothell, WA, USA
2-4 year
Carlsbad, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
Washington D.C., DC, USA
2-4 year
Bridgewater, NJ, USA
2-4 year
East Brunswick, NJ, USA
2-4 year
New Brunswick, NJ, USA
2-4 year
South San Francisco, CA, USA
2-4 year
United States
2-4 year
Carlsbad, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
Lagunilla, Heredia Province, Heredia, Costa Rica
6-8 year
Lagunilla, Heredia Province, Heredia, Costa Rica
6-8 year
Pittsburgh, PA, USA
4-6 year
Eindhoven, Netherlands
4-6 year
Eindhoven, Netherlands
4-6 year
Guilford, CT, USA
2-4 year
Lagunilla, Centro, Mexico City, CDMX, Mexico
2-4 year
Santa Clara, CA, USA
2-4 year
South San Francisco, CA, USA
0-2 year
United Kingdom
4-6 year
Karlsruhe, Germany
4-6 year
Waltham, MA, USA
0-2 year
Mexico City, Mexico
8-10 year
São Paulo, State of São Paulo, Brazil
8-10 year
Raleigh, NC, USA
16-18 year
Hillsboro, OR, USA
16-18 year
Pittsburgh, PA, USA
16-18 year
Waltham, MA, USA
16-18 year
São Paulo, Brazil
4-6 year
Carlsbad, CA, USA
4-6 year
Pittsburgh, PA, USA
2-4 year
Boston, MA, USA
4-6 year
Pittsburgh, PA, USA
6-8 year
Pittsburgh, PA, USA
4-6 year
Carlsbad, CA, USA
2-4 year
Austin, TX, USA
4-6 year
Denver, CO, USA
4-6 year
Philadelphia, PA, USA
4-6 year
Baltimore, MD, USA
4-6 year
Carlsbad, CA, USA
6-8 year
Waltham, MA, USA
6-8 year
Raleigh, NC, USA
6-8 year
Cranbury, NJ, USA
6-8 year
San Jose, CA, USA
6-8 year
Alabama, USA; Arizona, USA; Arkansas, USA; California, USA; Colorado, USA; Connecticut, USA; Delaware, USA; Florida, USA; Georgia, USA; Idaho, USA; Illinois, USA; Indiana, USA; Iowa, USA; Kansas, USA; Kentucky, USA; Louisiana, USA; Maine, USA; Maryland, USA; Massachusetts, USA; Michigan, USA; Minnesota, USA; Mississippi, USA; Missouri, USA; Montana, USA; Nebraska, USA; Nevada, USA; New Hampshire, USA; New Jersey, USA; New Mexico, USA; New York, USA; North Carolina, USA; North Dakota, USA; Ohio, USA; Oregon, USA; Pennsylvania, USA; Rhode Island, USA; South Carolina, USA; South Dakota, USA; Tennessee, USA; Texas, USA; Utah, USA; Vermont, USA; Virginia, USA; Washington D.C., DC, USA; Washington, USA; West Virginia, USA; Wisconsin, USA; Wyoming, USA
2-4 year