Title: Data Scientist
Location: Thousand Oaks, CA 91320 or Cambridge, MA is 02139 (Hybrid)
Duration: 12 Months with possible extension

Top 3 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

Basic Qualifications:

• Masters degree OR Bachelors degree and 2 years of experience OR Associates degree and 6 years of experience OR High school diploma / GED and 8 years of experience.

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 novel yet practical solutions to meet those needs
• Experience with combination products and device regulatory requirements and medical device development and engineering

Preferred:

• Passion for proactively identifying opportunities through creative modeling and data analysis
• Transform ambiguous business and technical questions into measurable and impactful projects
• Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning)
• Ability to deliver work and provide positive leadership in a fast-paced, multi-project team-oriented environment
• Intellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as needs arise
• Ability to manage multiple competing priorities simultaneously
• Ability to work in highly collaborative, cross-functional environments

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 48.00/hr.