Jr. Data Scientist

Why Hiring

United States0–2 yrs59m agovia LinkedIn

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.

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