The Role
Design, develop, and deploy machine learning models and data pipelines using Python, R, SQL, Spark, and big data technologies. Perform statistical analyses, deep learning model training, cloud-based data processing, and data visualization. Communicate insights through data storytelling, align analytics with business objectives, follow ethical data practices, and manage projects using agile methodologies.
Summary Generated by Built In
As a Data Scientist, you will leverage data for effective decision-making and innovation. We seek professionals skilled in cutting-edge data science techniques and tools, contributing to our digital transformation journey.
Key responsibilities include:
- Leverage data for decision-making and innovation in our digital transformation journey.
- Utilize Python, R, SQL, and Spark for data analysis and machine learning.
- Develop machine learning algorithms, data visualizations, and work with big data technologies (Hadoop, Spark, NoSQL databases, Hive).
- Use cloud computing platforms (AWS, GCP, Azure) for data processing and analysis.
- Design and manage data pipelines and infrastructure.
- Employ deep learning frameworks (TensorFlow, PyTorch, Keras, Caffe) for model building and training.
- Conduct statistical analysis (descriptive, inferential, regression, time series, cluster analysis).
- Practice data storytelling for effective communication of insights.
- Uphold data ethics, privacy, and unbiased analysis.
- Align data insights with business objectives.
- Manage data science projects with knowledge of agile methodologies.
- Develop domain-specific knowledge for relevant business insights.
Requirements
- Demonstrable expertise in programming languages (Python, R, SQL, Spark) and machine learning.
- Proficiency in data visualization and big data technologies.
- Experience with cloud computing platforms and data engineering principles.
- Familiarity with deep learning frameworks and statistical analysis methods.
- Strong skills in data storytelling and ethical data practices.
- Business acumen and practical project management skills.
- Excellent collaborative and communication abilities.
If you have similar background but do not meet all the above qualifications, we still encourage you to apply. We have several vacancies with different clients, each with varying requirements and opportunities. Your skills and experience might be a perfect fit for one of our other roles.
Skills Required
- Proficiency in Python, R, SQL, and Spark for data analysis and machine learning.
- Experience with big data technologies (Hadoop, Spark, NoSQL databases, Hive).
- Experience with cloud platforms (AWS, GCP, Azure) for data processing and analysis.
- Familiarity with deep learning frameworks (TensorFlow, PyTorch, Keras, Caffe).
- Strong skills in data visualization and data storytelling.
- Knowledge of data engineering principles and ability to design/manage data pipelines and infrastructure.
- Conduct statistical analysis including regression, time series, clustering, and inferential statistics.
- Uphold data ethics, privacy, and unbiased analysis.
- Business acumen and practical project management skills (agile methodologies).
- Excellent collaboration and communication abilities.
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The Company
What We Do
All About Expats is a Netherlands-based employment services provider specializing in support for highly skilled migrants and foreign employers. They offer a one-stop-shop solution encompassing IND-recognized sponsorship, employer of record (EOR) services, payroll administration, and comprehensive immigration, relocation, and HR support to help international companies and professionals successfully establish and manage operations within the Dutch labor market.
