Junior Data Scientist (225-718)

We are searching for a motivated and detail-oriented Junior Data Scientist to join our growing data science team. This is an exciting opportunity for a enthusiastic individual to bring their analytical skills and innovative thinking to a fast-paced and dynamic environment. As a Junior Data Scientist, you will be responsible for analyzing large sets of data, automating processes, and providing insights that can help shape the future of our business strategies. You will work closely with senior data scientists and cross-functional teams to develop models that facilitate business decision-making. A keen eye for patterns and trends in data is essential, as well as the ability to effectively communicate your findings to non-technical stakeholders. This role is ideal for someone eager to learn, with a passion for problem-solving and a strong foundation in data science methodologies.

Responsibilities

• Assist in collecting, processing, and analyzing data from various sources for business needs.
• Support senior data scientists in developing predictive models and machine learning algorithms.
• Conduct exploratory data analysis to extract insights and communicate findings effectively.
• Create visualizations and reports to present analysis results to stakeholders clearly and concisely.
• Help in implementing data-driven solutions to improve business performance and efficiency.
• Develop scripts and automate routine tasks to streamline data processing workflows.
• Collaborate with cross-functional teams to understand data requirements and business objectives.
• Contribute to the improvement of existing data models and analytical frameworks.
• Maintain documentation of data processes, methodologies, and findings for future reference.
• Stay updated with the latest trends and advancements in data science and analytics technologies.
• Assist in the evaluation of new data sources and technologies to enhance analytical capabilities.
• Participate in team meetings and contribute ideas for optimizing data-driven strategies.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• Basic understanding of Python, R, SQL, or other statistical programming languages.
• Familiarity with machine learning concepts and practical applications in data projects.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to work collaboratively in a team environment and communicate effectively.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Curiosity to continually learn and apply new data science techniques and methods.