Data Scientist

Overview

On Site
Hybrid
$45.5 - $50.05 hr
Contract - W2
Contract - Independent
Contract - 12+ mo(s)

Skills

SIMULATION
MODELING
MODEL
MS and A
PYTHON
MATLAB
MINITAB
MAT LAB
MINI TAB
JMP
ANSYS
LS-DYNA
ABAQUS
COMSOL
STRUCTURAL
FLUIDIC
HEAT TRANSFER
MONTE CARLO
NUMERICAL TECHNIQUES
UNCERTAINTY QUANTIFICATION
DATA

Job Details

Payrate: $45.50 - $50.05/hr.

Summary:
The Digital Data Scientist will support the Combination Product Operations organization by improving the way Company manages and utilizes data to enhance data analysis and decision making within the organization. We are seeking a highly motivated individual who will be primarily responsible for the development and lifecycle management of digital modeling assets and analyzing scientific and combination product performance data. This individual will leverage in-silico and data-driven modeling to evaluate potential opportunities that enable changes in business and operation performance.

Responsibilities:
  • Applying engineering principles to develop in-silico models for combination products
  • Developing, enhancing, automating, and managing analytics and data-driven models
  • Performing ad-hoc analysis and supporting special projects; Providing input to management for trend and failure investigation process improvements
  • Demonstrating modeling and visualization approaches as part of proof-of-concept projects
  • Transforming ambiguous business and technical questions into measurable and impactful projects
  • Demonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven models for combination products.

Skills:
  • Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes
  • Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL
  • Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations
  • Familiar with utilizing GitLab for version control, code collaboration, and project management
  • Data analysis expertise and statistical or mechanistic modeling experience
  • Experience in deriving technical recommendations and specifications from the analysis of measured data
  • Strong communication, presentation, and technical documentation skills are a plus, as is knowledge of process controls
  • Understanding business needs and developing Client yet practical solutions to meet those needs
  • Experience with combination of products and device regulatory requirements and medical device development and engineering

Basic Qualifications:
  • Bachelor s degree in engineering plus 5 years of simulation, modeling, and data analysis experience
Or
  • Master s degree in science or engineering plus 2 years of simulation, modeling, and data analysis experience
Or
  • Ph.D. in Science or Engineering (simulation, modeling, and data analysis)

Top 3 Must Have Skill Sets:
  • Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes
  • Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL
  • Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations


Pay Transparency: The typical base pay for this role across the U.S. is: $45.50 - $50.05/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.

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