Hybrid Junior Data Scientist

at Vidoori Inc.

• Job title: Junior Data Scientist
• Job type: Full Time
• Experience level: Junior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Numpy, Pandas, Python, Scikit-Learn
• Location requirements: Hybrid, United States

About the role

• Junior Data Scientist at Vidoori leveraging data to support decision-making and innovation. Collaborating within a diverse team in a supportive environment for continuous growth.

Responsibilities

• Work closely with senior data scientists, business stakeholders, and technology teams to understand project objectives and translate them into analytical solutions.
• Collect, clean, and process structured and unstructured datasets from various sources to ensure data quality and usability.
• Develop, test, and implement predictive models, statistical analyses, and machine learning algorithms under the guidance of senior team members.
• Visualise data and insights through dashboards and reporting tools to communicate findings effectively to both technical and non-technical audiences.
• Document data pipelines, methodologies, and analytical processes to ensure transparency and reproducibility of results.
• Support the deployment and monitoring of models in production environments, assisting with performance tracking and iterative improvement.
• Stay abreast of new data science tools, technologies, and trends, contributing new ideas to evolve team capabilities.
• Actively participate in data science knowledge sharing initiatives and team learning sessions.

Requirements

• Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or relevant practical experience.
• Proficiency in Python and familiarity with data science libraries such as Pandas, NumPy, and scikit-learn.
• Understanding of statistical concepts, machine learning algorithms, and data visualisation best practices.
• Basic experience with data analysis, manipulation, and exploratory data analysis techniques.
• Ability to communicate analytical results clearly to non-technical colleagues and stakeholders.
• Attention to detail, strong organisational skills, and a problem-solving mindset.
• Desire to learn, adapt to new challenges, and receive mentorship from experienced data practitioners.

Benefits

• Competitive salary and benefits designed to give you security and flexibility.
• Flexible, hybrid, and supportive working arrangements to promote work–life balance.
• Inclusion in a diverse, encouraging team where curiosity and learning are valued.
• Structured mentoring from senior data scientists and technology leaders.
• Opportunities for advancement and professional development within data science, data engineering, or analytics specialisms.
• Involvement in varied client projects, enabling you to deepen technical expertise and industry knowledge.