Data Scientist Associate, mechanical /material engineering background

Job Title: Data Scientist Associate, mechanical / material engineering background - (JP12135) Location: Thousand Oaks, CA. (hybrid) Employment Type: Contract Business Unit: Combination Product Advanced Analytics & Enabled Insights Duration: 1+ years (with likely extensions and/or conversion to permanent) Rate: $44-48 W2 Posting Date: 1/9/24 Notes: Only qualified candidates need apply. Must be local to Thousand Oaks, CA. (hybrid position). 3 Key Consulting is hiring a Data Scientist Associate for a consulting engagement with our direct client, a leading global biopharmaceutical company. Job Description: The Digital Associate 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. This individual will leverage in-silico and data-driven modeling to evaluate potential opportunities that enable changes in business and operation performance. 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 Top Must Have 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 Engineering background - but not computer engineering background (Looking for mechanical / material engineering background with coding experience) The ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using data-driven and physics-based modeling. 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 Day to Day Responsibilities: The ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using data-driven and physics-based modeling. 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 Basic Qualifications: Bachelor's degree in Engineering plus 3 years of simulation, modeling, and data analysis experience Or Master's degree in Science or Engineering plus 1 year of simulation, modeling, and data analysis experience Or Bachelor degree OR Associate degree and 4 years of experience OR High school diploma / GED and 6 years of 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 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 Qualifications: 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 Employee Value Proposition: Career growth, opportunity, unique experience. Red Flags: No Engineering Background (NOT SOFTWARE ENGINEERING) No modeling and simulation experience No Data Analysis experience Not meeting basic qualification Interview process: Phone interview followed by a virtual presentation to the hiring team We invite qualified candidates to sendyour resume to View email address on click.appcast.io . Ifyou decide that you’re not interested in pursuing this particular position, please feel free to take a look at the other positions on our website You are also welcome to sharethis opportunity withanyone you think might be interested in applying for this role. #J-18808-Ljbffr