Associate Data Scientist (225-827)

As an Associate Data Scientist, you will be an integral part of our data analytics team, where you will use your analytical skills and technical expertise to help drive data-driven decisions within our organization. You will work alongside senior data scientists to collect, analyze, and interpret large datasets, transforming them into actionable insights that will influence our business strategies. This is a role where curiosity, critical thinking, and creativity are central to developing innovative solutions to complex problems. You will have the opportunity to work with cutting-edge technologies and collaborate with cross-functional teams to enhance our understanding of data science applications, contributing significantly to the growth and success of the company. We value development, and this position offers growth opportunities, including exposure to advanced data science techniques and tools within a dynamic and supportive environment.

Responsibilities

• Assist in the collection, cleaning, and preprocessing of large datasets for analysis.
• Support senior data scientists in building predictive models using statistical software.
• Collaborate with different teams to gather requirements and deliver data solutions.
• Conduct exploratory data analysis to uncover trends and patterns in data.
• Help in developing and implementing machine learning algorithms and solutions.
• Generate reports and visualizations to communicate findings to non-technical stakeholders.
• Contribute to the maintenance and improvement of existing data pipelines and systems.
• Stay up-to-date with the latest industry trends and technologies in data science.
• Participate in code reviews to ensure code quality and best practices are followed.
• Assist in the documentation of data models, processes, and findings for future reference.
• Work with IT and other stakeholders to ensure data accuracy and integrity.
• Provide ad-hoc data analysis to support ongoing business strategies and initiatives.

Requirements

• Bachelor’s degree in Data Science, Computer Science, or related field.
• Strong analytical skills with proficiency in statistical analysis and data modeling.
• Experience with programming languages such as Python, R, or SQL required.
• Familiarity with data visualization tools like Tableau, Power BI, or similar.
• Understanding of machine learning algorithms and application in data science.
• Ability to work collaboratively in a team-oriented environment.
• Excellent communication skills to effectively convey complex data insights.