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ME Systems - Manufacturing Data Scientist

Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience levelNo experience limit
Education levelNo degree limit

Description

Summary: As a Data Scientist, you will perform data analysis for various Manufacturing Engineering Processes, finding insights and patterns to drive organizational value. Highlights: 1. Grow with purpose and develop new skills and expertise 2. Do work that shows up in the real world and has visible impact 3. Succeed with the right support, tools, resources, and environment Lisbon, Lisbon, Portugal JOB ID: J000699386 **ME Systems \-** **Manufacturing Data Scientist** Versigent designs and delivers the systems that move power through modern technology. From vehicles to robotics to energy platforms, our electrical distribution systems enable the next generation of electrified, automated and connected products. As a standalone company, we combine deep engineering expertise with the speed and focus needed to solve increasingly complex challenges. Our teams move quickly, think with precision and deliver at scale — helping customers do more without adding cost, weight or complexity. What defines us is how we work: with the agility and momentum of a startup, backed by the experience and discipline of a proven global leader. That combination creates an environment where ideas move faster, ownership is real and impact is visible. **YOUR ROLE** As a Data Scientist, you will perform Data Analysis for various Manufacturing Engineering Processes, such as Ultrasonic welding, Torque machines, ROB, Crimping or any other processes designated by the company. Find insights and patterns hidden inside the data and proactively engage with management and team to explore the findings and drive organizational value . **RESPONSIBILITIES** **Design \& Architecture** * Analyze historical data to identify patterns, trends, and insights and compare Statistical Process Control (SPC) * Preprocess and clean data for machine learning applications * Create effective feature engineering pipelines for time series data * Validate data quality and handle missing or anomalous data * Visualize data and results to communicate findings effectively **Algorithm Development and Implementation** * Apply statistical and mathematical approaches to time series analysis and forecasting * Implement and optimize machine learning algorithms using Python and relevant frameworks * Realize benchmark on model performance * Document methodologies, experiments, and results **Collaboration and Deployment** * Proactively engage with management and team to explore the findings and drive organizational value * Participate in code reviews and knowledge sharing sessions * Communicate technical concepts to non\-technical stakeholders * Contribute to team discussions and planning sessions **Learning \& Development** * Stay aware of latest developments in data science, machine learning * Experiment with new techniques and frameworks under guidance · Participate in internal training and skill development activities * Document learnings and sharing knowledge with the team * Gradually expand expertise across different ML domains, like Causal ML **YOUR BACKGROUND** * 0\-2years in a relevant project * Experience in Machine Learning Fundamentals and Data visualization techniques * Intermediate knowledge in Scikit\-Learn, Streamlit, Seaborn, Numpy, Pandas, SQL, Plotly and StatsModel and Python * Experience collaborating with stakeholders in dynamic, cross\-functional environments **QUALIFICATIONS** * Master’s degree (preferred) in Data Science, Computer Science, Mathematics, Information Technology, Engineering. * Intermediate experience in Data Analysis * Advanced knowledge in mathematics and Statistics * Fluent in English, both written and spoken **WHY JOIN US?** * **Grow with purpose.** We invest in our people by creating opportunities to build skills, take on new challenges, and develop over time. * **Do work that shows up in the real world.** What you contribute here powers systems that are critical to how industries operate and evolve. The impact is visible and lasting. * **Succeed with the right support.** We provide the tools, resources, and environment needed to perform at a high level and sustain that success. **YOUR BENEFITS AT VERSIGENT:** * Private health care effective day 1 of employment * Learning and development opportunities * Opportunities to give back to the community **Please note that to be considered for this position, candidates must be legally eligible to work in Portugal. This includes having:** * Valid residence permit or working visa * Portuguese Tax Identification Number (NIF) * Portuguese Social Security Number (NISS) **Please send your CV in English! APPLY TODAY!** **\#LI\-JM1** If you are looking for a role where you can grow, contribute, and see the direct impact of your work, we encourage you to apply and be part of what Versigent is building next. Privacy Notice \- Active Candidates: https://www.aptiv.com/privacy\-notice\-active\-candidates Versigent is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law. Privacy Notice \- Active Candidates: https://www.versigent.com/privacy\-statement Versigent is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

Posted by

João Santos

Indeed · HR

Location

João Santos

Indeed · HR

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