Junior Data Scientist

Why Hiring • United State
Remote
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AI Summary

The Junior Data Scientist role supports data-driven decision-making by analyzing datasets, developing predictive models, and preparing reports. This entry-level position offers structured training, defined processes, and long-term career development within a mature organization. Ideal candidates have a strong foundation in data analysis and skills in Python, R, and SQL.

Key Highlights
Support data-driven decision-making
Analyze datasets and develop predictive models
Prepare reports and dashboards
Key Responsibilities
Analyze structured datasets
Support development and validation of predictive models
Prepare reports, dashboards, and KPIs
Technical Skills Required
Python R SQL Machine learning algorithms
Benefits & Perks
Fully remote position
Structured onboarding and professional development
Competitive compensation and comprehensive benefits
Nice to Have
Experience with BI tools
Exposure to cloud-based data platforms
Knowledge of data warehousing concepts

Job Description


Location: Remote (USA)

Employment Type: Full-time

Experience Level: Entry-Level / Junior Data Scientist


Position Summary

The Junior Data Scientist will support data-driven decision-making by assisting with data analysis, statistical modeling, and reporting. This role is well-suited for candidates seeking structured training, defined processes, and long-term career development within a mature organization.


Responsibilities

  • Analyze structured datasets using Python, R, and SQL
  • Support development and validation of predictive models
  • Apply statistical analysis and machine learning techniques
  • Prepare reports, dashboards, and KPIs for stakeholders
  • Ensure data quality, data integrity, and documentation
  • Collaborate with analytics, engineering, and business teams
  • Follow established data governance and security standards


Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or related discipline
  • Proficiency in Python or R for data analysis
  • Experience with SQL queries and relational databases
  • Foundational knowledge of machine learning algorithms
  • Strong written and verbal communication skills
  • Familiarity with Agile or enterprise analytics environments


Preferred Qualifications

  • Experience with BI tools (Tableau, Power BI)
  • Exposure to cloud-based data platforms
  • Knowledge of data warehousing concepts
  • Experience with version control systems (Git)


What’s Offered

  • Fully remote position within USA
  • Structured onboarding and professional development
  • Stable, collaborative work environment
  • Competitive compensation and comprehensive benefits

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