Jr. Data Scientist

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints. About The Role: This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage. Perform statistical analysis and data exploration to extract meaningful insights from complex datasets Support the development and validation of predictive models to identify trends and patterns Contribute to the development of AI/ML models and data-driven solutions Conduct exploratory data analysis to support decision-making and operational planning Assist in building and maintaining data pipelines for data 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 Contribute to improving data systems, workflows, and analytical capabilities Assist in identifying data gaps, inconsistencies, and opportunities for optimization Participate in team meetings, project discussions, and knowledge-sharing sessions Education Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Required Skills Proficiency in Python, R, SQL, or similar programming languages. Experience with data visualization platforms such as Power BI or Tableau. Strong understanding of statistical techniques and modeling approaches. Foundational knowledge of AI/ML concepts and applications. Experience working with relational and/or NoSQL databases. Familiarity with cloud-based big data technologies. Ability to explain complex technical findings to non-technical audiences. Understanding of intelligence analysis processes and mission requirements. Experience working with structured and unstructured datasets in complex environments. Experience Minimum of 0 to 2 years of experience in data science, analytics, machine learning, or related technical fields. Why Hiring 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 reason prohibited by law in provision of employment opportunities and benefits.

The role involves performing statistical analysis and data exploration to extract insights from complex datasets. Additionally, the candidate will support the development of predictive models and collaborate with cross-functional teams to improve data workflows.

Candidates should have a bachelor's degree in a quantitative field and proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools and a foundational understanding of AI/ML concepts are also required.

Identified from the job description. Confirm important requirements above.

• Python
• R
• SQL
• Data Visualization
• Statistical Techniques
• AI/ML Concepts
• Relational Databases
• NoSQL Databases
• Cloud Technologies
• Data Quality
• Data Pipelines
• Exploratory Data Analysis
• Automation
• Data Exploration
• Predictive Models
• Data-Driven Solutions

Minimum education

Bachelor’s degree

Minimum experience

0+ years