Data Science Assistant

Vor 4 Tagen

Hamburg, Hamburg, Deutschland Olympus Vollzeit

About Olympus

We are an innovative organization driven by data science and machine learning, striving to push the boundaries of what is possible. Our team is comprised of experts who share a passion for exploring the intricacies of data and uncovering valuable insights.

Compensation Package

We offer a competitive hourly rate of 17 EUR, ensuring our working students receive fair compensation for their valuable contributions. In addition, our proportionate vacation entitlement allows you to maintain a healthy work-life balance.

Data Science Responsibilities

As a Data Science Assistant at Olympus, your primary responsibilities will include assisting in data collection, cleaning, and preprocessing tasks. This involves leveraging Python and SQL skills to manipulate and analyze data effectively. Furthermore, you will support statistical analysis and hypothesis testing, utilizing libraries like pandas and NumPy. You will also collaborate on developing and evaluating machine learning models using frameworks such as Scikit-Learn and TensorFlow. Additionally, you will contribute to creating informative data visualizations using Power BI and assist with documentation of data science projects.

Qualifications and Skills

To excel in this role, you must be an enrolled student in a relevant degree program (e.g., Computer Science, Statistics, Data Science) at an accredited university. Proficiency in Python and SQL, as well as familiarity with data science libraries and frameworks, is essential. Experience with Microsoft Azure for cloud computing and data storage is a significant advantage. Familiarity with cloud platforms (e.g., Azure, GCP, AWS) and distributed computing frameworks (e.g., PySpark) is also beneficial. A good understanding of statistical analysis and machine learning algorithms, sharp analytical and problem-solving skills, and strong communication skills are crucial for success in this position.

Benefits and Opportunities

As a valued member of our team, you can expect up to 60% remote work possibilities, allowing you to maintain a comfortable work-life balance. Excellent mentoring structure with regular feedback ensures your growth and development within the organization. We foster an international working environment where diverse perspectives and ideas thrive. Apply now via our website to join us in pushing the frontiers of data science and machine learning.

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