Overview
- Work in exciting new projects with new technologies
- Opportunity to work in cross functional international teams
About Our Client
The hiring company is a large organization within the industrial/manufacturing industry. It is committed to innovation and utilizing advanced technologies to enhance its operations and deliver exceptional results.
Job Description
- Analyze large datasets to identify patterns, trends, and actionable insights.
- Develop and implement predictive models and machine learning algorithms.
- Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
- Present findings and recommendations to stakeholders in a clear and impactful manner.
- Maintain and optimize existing data pipelines and systems.
- Ensure data quality and accuracy through robust validation processes.
- Research and apply the latest technologies and methodologies in data science.
- Support decision-making processes with advanced data analytics.
- Analyze complex datasets to uncover actionable insights and trends.
- Develop and implement machine learning models to solve business challenges.
- Collaborate with cross-functional teams to identify data-driven solutions.
- Create data visualizations and dashboards to communicate findings effectively.
- Ensure data quality and integrity throughout the analysis process.
- Provide technical expertise to enhance data processing and analytics systems.
- Document processes, methodologies, and results for future reference.
- Stay updated on the latest trends and advancements in data science and technology.
- Requirements analysis and customer consulting for analytics topics.
- Identification, extraction, transformation and loading of data.
- Storing data in relational, multidimensional, and NoSQL databases or data lakes both on-premises and in the cloud.
- Modelling of data according to common methods for further processing.
- Testing and quality assurance of data.
- Use of source control and CI/CD processes.
- Analyse linking of data using SQL, statistics, and data science to generate new insights.
- Visualize data taking into account best practices such as information design with popular reporting and dashboarding systems.
- Provide data through file sharing or REST APIs.
- Creation of data architectures based on public cloud services
- Collaboration in agile projects.
The Successful Applicant
A successful Data Scientist should have:
- A degree in Data Science, Computer Science, Statistics, or a related field.
- Strong knowledge of programming languages such as Python or R.
- Experience with data visualization tools and techniques.
- Proficiency in handling large datasets and working with databases.
- Understanding of machine learning models and statistical methods.
- An analytical mindset with excellent problem-solving skills.
- Ability to work collaboratively in a team environment.
What\'s on Offer
- Contract: 1 year
- Medical Benefits
- Opportunities to work with cutting-edge technologies in the industrial/manufacturing sector.
- Collaborative and innovative work culture.
If you are passionate about data and innovation, apply now to take the next step in your career as a Data Scientist!