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Job ID :
62356BR
Location :
US - California - Carlsbad
:
Job Description

When you join us at Thermo Fisher Scientific, you’ll be part of a smart, driven team that shares your passion for exploration and discovery. With revenues of $20 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.

Do you want be a part of the journey of building smart connected lab solutions for Thermo Fisher Scientific products? Do you have a unique combination of deep technical knowledge, business acumen and strong interpersonal skills? Thermo Fisher Scientific is looking for an IoT Data Scientist accountable for the IoT Data Science platform. IoT connectivity service across multiple business verticals within Thermo Fisher Scientific.

At Thermo Fisher Scientific we want to make science easier with connected ecosystems & digital science innovations. The candidate will be spear heading the data science of the connected solution that can make the vision possible.

BASIC QUALIFICATIONS

  • A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience
  • 7+ years of industry experience in predictive modeling, data science and analysis
  • Previous experience in a ML or data scientist role and a track record of building ML or DL models
  • Experience using Python and/or R
  • Knowledge of SparkML
  • Able to write production level code, which is well-written and explainable
  • Experience handling terabyte size datasets
  • Track record of diving into data to discover hidden patterns
  • Familiarity with using data visualization tools
  • Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
  • Experience giving data presentations
  • Strong written and verbal communication skills

PREFERRED QUALIFICATIONS

  • PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
  • 8+ years of industry experience in predictive modeling and analysis
  • Good skills with programming languages, such as Java or C/C++
  • Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
  • Consulting experience and track record of helping customers with their AI needs
  • Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences
  • Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR
  • Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment



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.
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