Unisys Corporation

Unisys is an Information Technology and Business Consulting firm providing project-based solutions, software solutions, and professional staffing services.. The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way, manages and utilizes data to enhance data analysis and decision-making within the organization.. 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. No modeling and simulation experience

data scientist

Unisys is an Information Technology and Business Consulting firm providing project-based solutions, software solutions, and professional staffing services. Those authorized to work in the United States are encouraged to apply. We are unable to sponsor at this time. <pre>Modeling/ simulation experience. No computer science degree, looking for engineer academic background. If lower than PhD looking for 2 years industry experience. Other industry experience is transferable with GMP </pre> Role: Data Scientist with Engineering Background. Duration: 12 months plus. Location: Hybrid- 3 days a week- Thousand Oaks, CA. mJd: The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way, 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. 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 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. <table> <colgroup> <col width="*"> <col width="22"> </colgroup> <tbody> <tr> <td id="cf_descz23101221150993339440937">Basic Qualifications: Doctorate degree OR Master degree and 3 years of experience OR Bachelor degree and 5 years of experience OR Associate degree and 10 years of experience OR High school diploma / GED and 12 years of experience. <table> <colgroup> <col width="*"> <col width="22"> </colgroup> <tbody> <tr> <td aria-labelledby="messageBox_1707325006738" id="cf_descz16041113070677850528909">Top 3 Must Have Skill Sets: **Simulation, modeling, and data analysis experience 1. Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes 2. 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 3. Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations. Day to Day Responsibilities: <table summary="Job Position"> <tbody> <tr fgid="Day to Day Responsibilities:"> <td colspan="1">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. Red Flags: Not meeting degree and experience requirements (not meeting basic qualification) No modeling and simulation experience No engineering background. Interview: phone followed by a Video call interview. </td> </tr> </tbody> </table> </td> </tr> </tbody> </table> Thanks Gangadhar Sadaram | Technical Recruiter Talent Solutions | USA Unisys | Direct : 703-429-9957 | THIS COMMUNICATION MAY CONTAIN CONFIDENTIAL AND/OR OTHERWISE PROPRIETARY MATERIAL and is for use only by the intended recipient. If you received this in error, please contact the sender and delete the e-mail and its attachments from all devices. </td> </tr> </tbody> </table>

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