Junior Data Scientist

About the company

Why Hiring is focused on helping skilled professionals connect with remote opportunities more easily. The company’s goal is to make the job search smoother and to match people with roles that fit their abilities and interests, without being limited by location.

Role overview

This opening is suited to someone with strong analytical ability who can work with large, complex datasets and partner with analysts, engineers, and mission stakeholders. The work is centered on turning data into actionable intelligence, supporting operational decision-making, and improving analytical capability.

What you will do

• Analyze data statistically and explore datasets to uncover useful patterns and insights.
• Help design and assess predictive models used to spot trends and behavior.
• Support AI and machine learning initiatives by contributing to data-driven solutions.
• Carry out exploratory analysis to inform decisions and operational planning.
• Assist with data pipelines used for collecting, cleaning, processing, and combining data.
• Work with data scientists, engineers, and other teams to improve how data is handled.
• Create scripts and small automation tools to reduce manual work and improve productivity.
• Help strengthen data quality, organization, and accessibility across systems.
• Use basic analytical and experimental methods to test ideas and measure results.
• Contribute to better data systems, workflows, and overall analytical performance.
• Identify missing data, inconsistencies, and areas where processes can be improved.
• Join team discussions, project reviews, and knowledge-sharing sessions.

Education

A bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or another closely related quantitative discipline is required.

Experience

The role is open to candidates with 0 to 2 years of experience in data science, analytics, machine learning, or a related technical area.

Required skills

You should be comfortable using programming and analytical tools such as Python, R, SQL, or similar languages. Experience with visualization tools like Power BI or Tableau is also expected, along with a solid grasp of statistical methods and modeling. Exposure to AI/ML fundamentals, databases, cloud-based big data tools, and communicating technical findings to non-technical audiences will be valuable. Familiarity with intelligence analysis workflows and handling both structured and unstructured data in demanding environments is also part of the role.

Equal opportunity

Why Hiring states that it does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity, or any other legally protected characteristic when offering employment opportunities and benefits.