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 servicesCollaboration 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 yearMedical BenefitsOpportunities 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!
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