At the company Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts provide unique R&D and engineering services across all industries. Join us for a career full of opportunities where you can make a difference, and no two days are the same.
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We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.
Key Responsibilities:
- Collect, clean, and preprocess structured and unstructured data from various sources.
- Develop and implement statistical models, machine learning algorithms, and data mining techniques.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Translate business problems into analytical solutions and communicate findings effectively.
- Collaborate with cross-functional teams to integrate data science solutions into business processes.
- Create visualizations and dashboards to present insights to stakeholders.
- Continuously monitor model performance and update models as needed.
- Document methodologies, experiments, and results for reproducibility and knowledge sharing.
Your Profile:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- 2–5 years of experience in data science or advanced analytics, preferably in a manufacturing context.
- Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).
- Experience with data visualization tools such as Power BI, Tableau, or matplotlib.
- Strong understanding of statistical analysis, predictive modeling, and data wrangling.
- Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.
- Excellent problem-solving and communication skills.
- Experience with Agile/Scrum methodologies is a plus.
Work Conditions:
- Flexible Work Arrangements: Work remotely or adjust work hours for a balanced lifestyle.
- Career Growth Opportunities: Access diverse roles and career development programs.
- Training & Certifications: Equip yourself with valuable certifications in emerging technologies.
The company is a responsible and diverse group of 340,000 team members in more than 50 countries. It is a trusted partner for organizations, helping them accelerate their digital and sustainable transformation while delivering end-to-end services and solutions.
