Data Scientist

• Utrecht

• Vast

• Voltijds

• 16 uren geleden

As a Data Scientist, you will:

• Develop, improve, and maintain advanced data science models to detect recurring and periodic patterns in large transactional datasets.

• Enhance model performance by designing new features and optimizing algorithms for improved analytical insights.

• Expand and refine time-related features used in periodicity detection and forecasting models.

• Deliver high-quality production-ready code as part of an end-to-end data science and machine learning development team.

• Collaborate closely with data scientists, machine learning engineers, business analysts, and product stakeholders to implement scalable analytical solutions.

• Propose innovative ideas and improvements based on a strong understanding of the organization's analytics landscape.

• Contribute to the design and evolution of machine learning models through experimentation, validation, and continuous improvement.

• Participate across the full MLOps lifecycle including model development, testing, deployment, monitoring, and optimization.

• Ensure solutions are aligned with architecture standards, IT frameworks, and business objectives.

• Communicate analytical insights and technical findings clearly to both technical and non-technical stakeholders.

• Solid experience working with large datasets and advanced analytics or machine learning techniques.

• Strong programming expertise in Python and experience working with PySpark for large-scale data processing.

• Practical experience using Git for version control and collaborative development workflows.

• Experience building, evaluating, and optimizing predictive models and advanced analytics solutions.

• Familiarity with time series analysis, forecasting models, or periodic pattern detection techniques.

• Experience working in modern data science platforms such as Databricks is considered an advantage.

• Strong analytical thinking combined with a practical business-oriented mindset.

• Excellent collaboration and communication skills to work effectively with multidisciplinary teams.

You Should Possess the Ability to:

• Design and optimize machine learning and statistical models for complex data environments.

• Translate business challenges into data-driven analytical solutions.

• Work effectively across the entire MLOps lifecycle from experimentation to production deployment.

• Analyze large-scale datasets and extract meaningful insights that support business decision-making.

• Communicate complex analytical results clearly to business stakeholders.

• Collaborate effectively within cross-functional teams consisting of technical and business experts.

• Manage multiple analytical initiatives while maintaining a strong focus on quality and impact.

• The opportunity to work on advanced analytics and machine learning solutions with real-world business impact.

• Collaboration with experienced data scientists, machine learning engineers, and analytics professionals.

• A dynamic and innovation-driven environment focused on data-driven decision making.

• Opportunities to contribute to large-scale analytical initiatives and modern MLOps practices.

• Continuous learning and professional growth within a highly collaborative data science ecosystem.