Data Scientist

Summary:

The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way Client 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 development and lifecycle management of digital modeling assets and analyzing scientific and combination product performance data.

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 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 programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes

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

Preferred Traits:

Passion for proactively identifying opportunities through creative modeling and data analysis

Transform ambiguous business and technical questions into measurable and impactful projects

Experience:

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

Compensation:

The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate's qualifications, skills, competencies, competencies, competencies, experience, location and end client requirements).

Benefits and Ancillaries:

Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.