Data Scientist

US Tech Solutions • Thousand Oaks, CA • 7h ago

Duration: 12 months contract

Location: Thousand Oaks, CA (Hy-brid : 3 days on-site/week)

Summary:

The ideal candidate is a Data Scientist with a strong engineering background, preferably in Mechanical, Biomedical, or Chemical Engineering, with proven experience in simulation, modeling, and data analysis within a GMP-regulated environment.

They are proficient in Python, MATLAB, and Minitab, and possess a deep understanding of engineering principles applied to physical systems.

The candidate holds either a PhD with no required industry experience, a Master's degree with at least 2 years of experience, or a Bachelor's degree with a minimum of 4 years of experience.

They are highly analytical, collaborative, and adaptable, with the ability to translate experimental data into actionable insights.

Candidates with degrees in Computer Science, Electrical Engineering, or Computer Engineering, or those with purely software-focused backgrounds, are not a fit for this role.

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 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.

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

Details:

The ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using data-driven and physics-based modeling.

This may include, but is not limited to, the following:

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:

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 Traits:

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

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)

Day to Day 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.

"US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran"

Go to Apply

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