- As a Data Scientist, you'll play a crucial role in supporting data-driven projects, performing routine data analysis tasks, and assisting with model development and testing.
- Your role involves contributing to various stages of the data science lifecycle and providing insights that help shape business strategies.
- This position is suited for those with a foundational understanding of data science and are eager to deepen their expertise.
Responsibilities :
- Contribute to more advanced data collection and preprocessing efforts.
- Assist in developing and testing machine learning models.
- Perform descriptive data analysis and provide preliminary insights.
- Create visualizations and reports to support data findings.
- Manage and maintain data repositories efficiently.
- Support senior data scientists in feature creation and selection.
- Participate in collaborative projects with cross-functional teams.
- Help automate data processing tasks using scripts.
- Contribute to model validation and performance testing.
- Stay informed about emerging data science tools and methodologies.
Skills :
- Advanced Data Cleaning : Enhanced preprocessing and data wrangling techniques.
- Intermediate Python : Proficiency in Python for data science tasks.
- SQL : More advanced SQL querying skills.
- Data Visualization : Ability to create meaningful visualizations using tools like Tableau or Matplotlib.
- Machine Learning Basics : Understanding of basic machine learning concepts and algorithms.
- Statistical Analysis : Intermediate statistical methods and their applications.
- Communication : Articulating data insights clearly to non-technical stakeholders.
- Problem-Solving : Effective in identifying data-related issues and providing solutions.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.