Junior Data Scientist (225-616)

Are you a data enthusiast looking to kickstart your career in the dynamic world of data science? We have an exciting opportunity for a Junior Data Scientist to join our innovative team and contribute to meaningful projects that impact our business decisions. As a Junior Data Scientist, you will work under the guidance of experienced data scientists, assisting in the collection, analysis, and interpretation of large datasets. You will play a key role in developing data-driven strategies by applying statistical techniques and machine learning algorithms. This is an excellent chance to hone your skills in data analysis, modeling, and visualization while working in a collaborative and supportive environment.

Responsibilities

• Assist in gathering, cleaning, and transforming large sets of structured and unstructured data.
• Conduct exploratory data analysis to identify patterns, trends, and insights.
• Support the development and implementation of machine learning models and algorithms.
• Collaborate with senior data scientists to design and execute data-driven solutions.
• Create dynamic and insightful data visualizations to aid in decision-making processes.
• Participate in brainstorming sessions for generating innovative data science project ideas.
• Document methodologies and outcomes of data analysis for future reference and replication.
• Assist in deploying scalable data models into production environments for end users.
• Coordinate with cross-functional teams to understand and meet their data requirements.
• Stay updated with the latest trends and technologies in data science and analytics.
• Conduct quality checks and validate models to ensure accuracy and reliability.
• Prepare comprehensive reports and presentations to communicate findings to stakeholders.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• At least one year of experience in data analysis or data science projects.
• Proficiency in programming languages such as Python or R for data manipulation.
• Solid understanding of statistical methods and machine learning algorithms.
• Experience with data visualization tools like Tableau, Power BI, or similar software.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent written and verbal communication skills for presenting analytical results.
• Ability to work in a team-oriented environment and collaborate effectively.
• Familiarity with relational databases and SQL for data querying and management.