Junior Data Scientist
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Key skills for this role
About the Role
Why Hiring is seeking a Junior Data Scientist to perform statistical analysis, develop predictive models, and contribute to AI/ML solutions. The role requires strong quantitative skills, experience with large datasets, and collaboration with cross-functional teams.
Key Skills for This Role
Responsibilities
- 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
Requirements
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
- 0 2 years of experience in data science, analytics, machine learning, or related technical fields
- 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
Full Job Posting
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.
Responsibilities
- 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.
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