Remote Position
[Remote] Jr. Data Scientist
🌍 Remote · United States
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. Why Hiring connects talented individuals with remote job opportunities and helps professionals find fulfilling roles regardless of geography. The Junior Data Scientist will analyze data, develop automated workflows, create reporting and visualizations, and support predictive analytics, forecasting, and data solution initiatives while collaborating with technical and business teams.
Responsibilities
- Analyze and interpret large datasets to support business decision-making
- Develop and maintain automated workflows using Python and SQL
- Create dashboards, reports, and visualizations using BI and analytics tools
- Support predictive analytics, segmentation, and forecasting projects
- Assist in building scalable reporting and data processing solutions
- Collaborate with technical and non-technical teams to translate business needs into data solutions
- Contribute to the maintenance and optimization of data models and pipelines
Skills
- Experience working with Python for data analysis, scripting, or automation
- Strong SQL knowledge and experience querying relational databases
- Familiarity with business intelligence or data visualization tools (e.g. Power BI, Tableau)
- Basic understanding of machine learning concepts (e.g. regression, classification)
- Foundational knowledge of statistics (hypothesis testing, distributions, correlation)
- Strong analytical thinking and problem-solving ability
- Clear communication skills — able to explain data insights to non-technical audiences
- Understanding of cloud-based analytics or modern data platforms (AWS, GCP, Azure)
- Interest in AI-enabled workflows, automation, or applied data science
- Prior exposure to predictive modeling or forecasting projects
Benefits
- Remote and flexible working environment
- Opportunity to work on modern analytics and AI-focused projects
- Supportive, collaborative team culture
- Professional development and learning opportunities
- Exposure to cloud technologies, automation, and scalable data solutions
- Career growth within an expanding team
- Performance-based incentives
- Wellness and work-life balance support
Company Overview