Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming, AWS
What You Will Be A Part Of:
As a Data Scientist, you will be part of a team dedicated to increasing the business efficiency of a Fortune 200 Company. This new position provides an exciting way for an experienced. Data Scientist to employ a cross-section of machine learning and analytic processes to develop algorithms that will improve efficiency and drive revenue. You will quickly grasp the complex business priorities and marketing objectives to translate them into algorithms and communicate the results to stakeholders with varying degrees of technical background. You will be challenged to develop new analytic capabilities to a wide variety of projects, identifying revenue and lead opportunities and recommending the best marketing actions based on predictive modeling.
What You Will Do:
How You Will Get Here:
Knowledge, Skills, Abilities:
This position (has/has not) been approved for Relocation Assistance.
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