A Day in Your Life at MKS:

As an Associate Application Developer, Data Analytics, you will collaborate closely with the Data Analytics team to support SAP and activities related to simulation, data modelling and related digital initiatives. Reporting to the DA Team Manager, you will apply various methods and strategies to assist multiple departments across the organization.

This role involves working alongside your immediate team, the team manager, R&D manager, and other cross-functional groups. Open, clear communication with both the team and R&D managers is essential. You'll be encouraged to take initiative, propose your own ideas, and develop effective approaches to successfully carry out your responsibilities.

You Will Make an Impact By:

Develop and execute numerical simulations using tools such as COMSOL, ANSYS or similar software.
Build models (structural, thermal, fluid, electromagnetic, multiphysics, etc.) as per project requirements.
Perform pre-processing, solving, and post-processing of simulation models.
Validate simulation results through analytical calculations, experimental data, or test results.
Support design optimization by evaluating multiple design iterations.
Document simulation methodologies, assumptions, results, and conclusions.
Collaborate with cross-functional teams including design, manufacturing, and testing.
Maintain simulation best practices and ensure compliance with internal standards.
Provide technical support and knowledge sharing within the team.
Staying current with emerging trends and innovations in Cheminformatics, Data Science, and related fields, and advising on their strategic application within the organization.
Provide support to related SAP activities.
Ensuring all data analytics initiatives adhere to data privacy and security standards
Maintaining clear, consistent communication with stakeholders regarding task progress and deliverables.
Demonstrating initiative and self-motivation in upholding work culture and achieving goals.
Engaging actively in team-building efforts to support a collaborative and positive work environment.
Respecting and protecting the confidentiality of all departmental and project-related information.

Skills You Bring:

A graduate degree in Computer Science, Data Science, Statistics, Chemical Sciences, or a closely related discipline.
At least 1-3 years of relevant professional experience in data analytics or a related technical field.
Hands-on experience with COMSOL Simulation.
Knowledge of FEM / FEA / CFD concepts.
Ability to interpret simulation results and translate them into engineering decisions.
Strong analytical and problem-solving skills.
Good documentation and communication skills.
Experience collaborating with scientists, research teams, and IT departments to gather and translate technical and functional requirements.
Advanced knowledge of Cheminformatics and Data Science techniques, tools, and best practices.
Proven leadership skills and the ability to foster strong, collaborative teams.
Strong stakeholder management capabilities with the ability to clearly communicate complex technical ideas to non-technical audiences.
Competence in task prioritization, project planning, and defining clear next steps.
Excellent communication, interpersonal, and teamwork skills.
A self-starter mindset with creative problem-solving abilities, a strong sense of ownership, and a drive for continuous improvement.

Preferred Skills: (Optional)

Experience with Multiphysics simulations.
Scripting or automation skills (MATLAB, Python).
Experience working in R&D or product development environments.
Exposure to experimental validation or lab testing.
Familiarity with data visualization tools such as Power BI or Tableau.
Basic understanding of system architectures and data flow diagrams.
Exposure to automation control systems and robotics applications.