Data Scientist

vor 1 Woche


Lausanne, Waadt, Schweiz Capgemini Engineering Vollzeit

About Us

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**At Capgemini Engineering Switzerland we value excellence, diligence, responsibility, dynamism and innovation. We offer a diverse workplace and would like to invite you to be part of our success story where we provide training, tools and foundations for your professional and personal growth. We are looking for an experienced Data scientist.

Job description
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Conduct exploratory data analysis to identify trends, patterns, and correlations in large datasets

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Design, develop, and deploy predictive models and machine learning algorithms to solve business problems

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Work closely with stakeholders to define project objectives, requirements, and success criteria

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Collect, clean, and preprocess data from various sources to ensure quality and reliability

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Build and maintain scalable data pipelines and infrastructure for data ingestion and processing

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Evaluate model performance and iterate on algorithms to improve accuracy and effectiveness

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Communicate findings and insights to non-technical stakeholders through clear and compelling visualizations and presentations

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- **Stay current with the latest developments in data science, machine learning, and related technologies.

Your profile
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Master's or Ph.
D. degree in Computer Science, Statistics, Mathematics, or related field

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Proven experience as a Data Scientist or similar role, with a track record of delivering impactful data-driven solutions

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Proficiency in programming languages such as Python, R, or Java for data analysis and machine learning

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Strong understanding of statistical methods, machine learning algorithms, and data mining techniques

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Experience with data visualization tools such as Tableau, Power Bi, Knime (or similar) is a plus

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Excellent problem-solving skills and attention to detail, with the ability to think creatively and critically about complex problems

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Strong communication and collaboration skills, with the ability to work effectively in a team environment

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Experience with big data technologies such as Hadoop, Spark, or AWS is a plus

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- **Previous experience in [specific industry or domain relevant to your company] is preferred.

Benefits
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Between 30% and 70% remote work in agreement with your manager and client needs (40% for cross boarders due to tax regulation)

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Options to order ergonomically proven equipment (monitor & chair) for your home-office premises

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Support for trainings, formation upon agreement with the manager

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Contribution on gym subscription

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Trust-based managerial culture

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- **Team rituals and get togethers
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