Junior Data Scientist (Remote)

About the role

Why Hiring is seeking a motivated Junior Data Scientist to join its remote analytics team. The role focuses on turning large, complex datasets into actionable insights that support intelligence and operational decision‑making.

Key responsibilities

• Perform statistical analysis and data exploration to extract meaningful insights from complex datasets.
• Support development and validation of predictive models to identify trends and patterns.
• Contribute to AI/ML model development and data‑driven solutions.
• Conduct exploratory data analysis to aid decision‑making and operational planning.
• Assist in building and maintaining data pipelines for collection, processing, and integration.
• Collaborate with data scientists, engineers, and cross‑functional teams to improve data workflows.
• Develop scripts and tools to automate repetitive tasks and improve efficiency.
• Support initiatives to enhance data quality, structure, and accessibility.
• Apply basic experimental and analytical approaches to test ideas and evaluate outcomes.
• Identify data gaps, inconsistencies, and opportunities for optimization.

Required profile

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics or a related quantitative field.
• 0–2 years of experience in data science, analytics, machine learning or related technical roles.
• Ability to communicate technical findings to non‑technical audiences.
• Understanding of intelligence analysis processes and mission requirements.

Required skills

• Proficiency in Python, R and SQL.
• Experience with data visualization tools such as Power BI or Tableau.
• Strong understanding of statistical techniques and modeling approaches.
• Foundational knowledge of AI/ML concepts and applications.
• Experience with relational and/or NoSQL databases.
• Familiarity with cloud‑based big data technologies.