Junior Data Scientist 17F26

A Junior Data Scientist plays a crucial role within the data analytics team, primarily supporting and contributing to the analysis and interpretation of complex data to help drive business decisions. This position is an excellent starting point for anyone looking to immerse themselves in the world of data science and analytics. As a Junior Data Scientist, the individual will work closely with senior team members to perform data cleaning, data visualization, and simple to moderately complex analyses. They will also assist in developing predictive models and implementing machine learning algorithms. The role requires a keen interest in learning advanced analytical techniques and honing technical skills in data manipulation and programming. This is an opportunity to be part of an innovative team where you can grow and make a tangible impact on the business by leveraging data to solve real-world problems.

Responsibilities

• Assist senior data scientists in collecting, processing, and analyzing data for projects.
• Perform data cleaning and preprocessing to ensure data integrity and quality.
• Create and maintain documentation of data analysis processes and methodologies.
• Utilize data visualization tools to present data insights to stakeholders clearly.
• Support the development of predictive models and machine learning algorithms.
• Collaborate with cross-functional teams to identify business issues that can be addressed through data science solutions.
• Assist in the integration of data from various sources to provide a comprehensive view of business operations.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies in datasets.
• Assist in optimization of existing data models and processes for efficiency and accuracy.
• Participate in team meetings, providing updates on project progress and taking feedback for improvement.
• Keep up-to-date with the latest trends and advancements in data science and analytics.
• Assist in preparing detailed reports and presentations based on analytical findings.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Basic knowledge of programming languages such as Python, R, or SQL.
• Understanding of statistical techniques and concepts used in data analysis.
• Experience or coursework in data visualization tools such as Tableau or Power BI.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to work collaboratively in a team environment and communicate effectively.
• Eagerness to learn and adapt to new technologies and methodologies in data science.