Junior Data Scientist (225-822)

A Junior Data Scientist plays a critical role in transforming raw data into actionable insights. They work closely with senior data scientists and analysts to develop, implement, and maintain data-driven solutions that improve business processes and decision-making. In this entry-level role, Junior Data Scientists are expected to apply their knowledge of data analytics, machine learning, and statistical modeling to create predictive models and algorithms. They also collaborate with cross-functional teams to analyze data and present findings in a clear and concise manner. This position offers a chance for individuals who are passionate about data to solve real-world problems and grow their expertise in data science. With a strong foundational knowledge in quantitative fields and a keen interest in uncovering patterns and trends, Junior Data Scientists have an exciting opportunity to kickstart their careers in a dynamic and fast-paced environment.

Responsibilities

• Assist in collecting, cleaning, and preparing data for analysis and modeling.
• Work with senior data scientists to develop and maintain predictive models.
• Utilize machine learning techniques to identify patterns and insights from data.
• Collaborate with cross-functional teams to understand business objectives and requirements.
• Create data visualizations and dashboards to communicate findings effectively.
• Contribute to the continuous improvement of data processing and analytics workflows.
• Support the development of data pipelines for efficient data handling and storage.
• Analyze large datasets to derive meaningful insights and inform business strategies.
• Document data analysis processes and methodologies for future reference and use.
• Participate in team meetings and presentations to share progress and insights.
• Stay updated with the latest trends and technologies in data science and analytics.
• Assist in researching and adopting new tools and technologies that improve data handling.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field.
• Basic knowledge of programming languages such as Python, R, or SQL.
• Understanding of statistical concepts and methodologies for data analysis.
• Familiarity with data visualization tools like Tableau or Power BI.
• Ability to work well in a team and communicate effectively with stakeholders.
• Strong problem-solving skills with attention to detail and accuracy in work.
• Eagerness to learn and ability to adapt to new tools and technologies.