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Top Data Science Jobs in the Netherlands
The Consumer Experience Scientist will lead consumer research projects to deliver insights that drive product innovation at Kraft Heinz. This role involves collaborating with multifunctional teams, executing consumer assessments, and developing consumer learning plans. The individual will analyze data to provide actionable insights and engage with R&D and marketing communities to align on projects.
As a Senior Data Scientist, you will lead data science projects within the Business Intelligence team by utilizing advanced analytical tools to support decision-making processes, improve sales, client retention, and product adoption, while delivering actionable insights from large datasets through effective storytelling.
As a Consultant in the Energy & Utilities practice, you will drive the transition towards new energy realities, manage stakeholders, lead project teams, and contribute to the development of strategies and training. Your role involves utilizing your expertise in hydrogen to solve complex energy problems and enhance operational performance.
The Head of Growth will lead a team focused on driving commercial results using data and technology. Responsibilities include managing the marketing technology stack, overseeing customer lifecycle analytics, optimizing lead conversion rates, developing SEO practices, and collaborating with various departments to implement data solutions.
The Data Team Manager at Storyblok will lead data science and engineering efforts, shaping data strategy and managing a team of four. Responsibilities include defining the data analytics strategy, partnering with various teams for actionable insights, and ensuring high-impact projects are delivered on time to support business objectives.
As a Solution Lead Digital Twin, you will implement Digital Twin concepts to address business challenges related to energy transition and sustainability. You'll lead client projects, support presales activities, and share knowledge with team members, ultimately scaling digital solutions.
The Manager, Field Engineering will lead the pre-sales Solutions Architects team, focusing on expanding the Benelux market. Responsibilities include managing and mentoring the team, driving collaborative culture, enhancing sales cycle effectiveness, and building strategic partnerships with customers and internal services to improve implementation strategies.
As a Senior Data Science Consultant, you will lead transformation projects focused on predictive modeling, machine learning, and big data processing. Responsibilities include developing innovative data science solutions, collaborating on business development, and providing insights using econometric methods and optimization techniques.
The Senior Data Science Consultant will lead complex model implementations using machine learning and operational research, manage client relationships, supervise junior consultants, contribute to the firm’s publications, and support training initiatives while ensuring project commitments are met.
The Data Scientist will apply machine learning and advanced analytics to create scalable solutions in gaming development. They will develop and validate machine learning models, automate processes, and collaborate with various teams to deliver business insights.
The Data Scientist will develop, test, and document data pipelines for predictive maintenance solutions, optimize data processing from IoT sensors, and contribute to high-quality data delivery. The role involves collaboration with cross-functional teams to improve data workflows and ensure scalability using best practices.
As a Senior Data Scientist, you will build data models, dashboards, and reports to provide insights for mobile subscription developers, driving data-informed decisions and enhancing user experience. You will collaborate with teams to improve data pipelines and develop predictive models, ultimately launching new features to benefit customers.
As a Data Scientist in Product Insights, you'll enhance user experience through data analysis, machine learning, and experimentation. You will work with product teams to address questions related to user trust and satisfaction while evaluating new products using data-driven insights.
As a Senior Data Scientist, you'll analyze large datasets from digital channels, develop predictive models and algorithms, and present actionable insights to clients while staying updated on the latest trends in data science and digital marketing.
As a Data Scientist, you will develop Machine Learning models to detect anomalous behavior in customer networks, improve operations, and measure performance metrics. The role involves collaborating with cybersecurity experts and applying AI techniques to enhance service quality.
As a Data Scientist at Nationale-Nederlanden, you will translate business issues into AI-driven solutions, implement them in production, and assist with AI adoption. You'll work with business colleagues, participate in the Data Science Guild for skill exchange, and keep abreast of the latest AI trends to solve business problems using your expertise in data science.
The Data Scientist will analyze large datasets to derive insights, build predictive models, and implement Machine Learning and Deep Learning solutions across various sectors. You will use programming languages like Python and R, work with visualization tools such as Tableau and Power BI, and have a strong focus on gaining insights for stakeholders.
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