Junior Data Scientist (225-1009)

As a Junior Data Scientist, you will embark on a journey to unlock the value of data and drive impactful decisions within our organization. Your passion for data analytics and your aptitude for problem-solving will be essential in supporting our data-driven initiatives. Working closely with a team of seasoned data scientists and analysts, you will engage in various facets of data science, including data mining, statistical analysis, predictive modeling, and data visualization. This role offers an excellent opportunity for you to develop your skills in a dynamic and collaborative environment while contributing to meaningful projects. Ideal candidates are analytically driven, eager to learn, and ready to apply advanced analytical techniques to solve real-world business problems.

Responsibilities

• Assist in collecting, cleaning, and preparing data for analysis and modeling.
• Collaborate with senior data scientists to identify patterns and trends in complex datasets.
• Support the development and implementation of predictive models and algorithms.
• Contribute to the visual representation of data findings using data visualization tools.
• Help create detailed reports and presentations to communicate analytical insights.
• Participate in brainstorming sessions to support the strategic direction for projects.
• Engage with cross-functional teams to understand business needs and data requirements.
• Maintain accurate and comprehensive documentation of data science processes and results.
• Stay updated with emerging trends and technologies in the field of data science.
• Contribute to maintaining high-quality standards of data integrity and security.
• Assist in evaluating the effectiveness and accuracy of data sources and data-gathering techniques.
• Support the automation of routine data analysis and modeling processes where applicable.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, or related field.
• Fundamental understanding of data structures, statistical analysis, and algorithms.
• Proficiency in programming languages such as Python, R, or SQL for data analysis.
• Basic experience with data visualization tools like Tableau, Power BI, or Matplotlib.
• Strong analytical skills and attention to detail for data interpretation and problem solving.
• Good communication skills to effectively convey technical concepts to non-technical audiences.
• Aptitude for continuous learning and passion for data-driven decision making.