Bangalore, Karnataka, India
Information Technology
Full-Time
Wolters Kluwer
Overview
About the Role:
As a Data Scientist, you’ll embark on an exciting career journey, mainly focusing on supporting the team with entry-level data tasks while gaining exposure to a variety of data science techniques. You will help collect, clean, and analyze data to provide preliminary insights that will contribute to predictive models and assist in optimizing business performance. This role is perfect for those eager to build a foundation in data science and are enthusiastic about leveraging data to drive innovation.
Responsibilities:
As a Data Scientist, you’ll embark on an exciting career journey, mainly focusing on supporting the team with entry-level data tasks while gaining exposure to a variety of data science techniques. You will help collect, clean, and analyze data to provide preliminary insights that will contribute to predictive models and assist in optimizing business performance. This role is perfect for those eager to build a foundation in data science and are enthusiastic about leveraging data to drive innovation.
Responsibilities:
- Collect and standardize data from various sources.
- Assist in cleaning and preprocessing data to ensure accuracy and consistency.
- Conduct preliminary data analysis to support more senior team members.
- Participate in training machine learning models with guidance.
- Help maintain databases and data repositories.
- Prepare simple visualizations and reports to present basic findings.
- Collaborate with colleagues to understand data requirements and goals.
- Stay updated with the latest data science trends and tools.
- Document processes followed during data collection and analysis.
- Support data integrity and validation initiatives.
- Data Collection: Ability to gather data from multiple sources effectively.
- Data Cleaning: Basic techniques for preprocessing and cleaning datasets.
- Python: Familiarity with basic Python for data manipulation.
- SQL: Basic understanding of SQL for querying data.
- Excel: Proficient in using Excel for simple data analysis and visualization.
- Basic Statistics: Understanding of basic statistical concepts.
- Communication: Clear and simple reporting of findings.
- Team Collaboration: Ability to work well in a team environment.
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