Jr. Data Scientist
Why Hiring
About the Role
- We're looking for a Junior Data Scientist to join a growing analytics team.
- Focus on building data-driven solutions and improving business performance through modern technologies.
- Ideal for someone who enjoys working with data, automation, and emerging AI tools in a collaborative, fast-paced environment.
- Work alongside analysts, engineers, and business stakeholders to support reporting, forecasting, automation, and advanced analytics initiatives across different business areas.
Key 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.
Requirements (Must-Have)
- 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.
Nice-to-Have
- 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.