Data Science Associate

About the Opportunity

Why Hiring is looking for an Associate Data Scientist on behalf of one of its client companies based in the United States. This role is a strong fit for recent graduates and professionals at the start of their careers who want to apply statistical thinking, analytical methods, and machine learning approaches to practical business problems. The position involves working with experienced team members to help deliver data-led initiatives and meaningful operational outcomes.

What You Will Do

• Examine datasets to uncover patterns, trends, and useful insights.
• Help build and assess predictive and classification models.
• Contribute to data cleaning, feature creation, and model validation work.
• Use statistical techniques to solve business and operational questions.
• Develop analytical outputs that support strategic decisions.
• Prepare charts, visual summaries, and presentations to communicate results clearly.
• Take part in experimentation, hypothesis testing, and performance tracking.
• Assist in deploying and monitoring data science solutions.
• Work with technical teams to improve data access and usability.
• Keep up to date with developments in machine learning, analytics, and data science practices.

Skills and Experience Needed

• Working knowledge of Python, SQL, R, or similar programming languages.
• Solid understanding of statistics, probability, and predictive modeling basics.
• Familiarity with machine learning concepts and commonly used algorithms.
• Exposure to datasets through coursework, internships, research, or personal projects.
• Strong analytical reasoning and problem-solving ability.
• Ability to explain technical ideas to both technical and non-technical audiences.
• Good organization and strong attention to detail.
• Experience with visualization tools and reporting platforms.
• Comfort using Git and collaborative development workflows.
• 0 to 2 years of experience in data science, machine learning, analytics, research, internships, or similar quantitative work.

Equal Opportunity Notice

Why Hiring promotes an inclusive work environment and considers applicants from all backgrounds. Employment decisions are made without regard to race, ethnicity, religion, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.