Data Scientist (Jr.)

Vidoori-posted about 4 hours ago

Full-time • Entry Level

Hybrid • Hyattsville, MD

251-500 employees

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Vidoori is a leader in digital innovation and data-driven cloud transformation, delivering impactful technology solutions to clients across multiple industries. As we continue to expand, we seek an enthusiastic and analytical Junior Data Scientist to join our collaborative, inclusive team. This is a unique opportunity to launch your career in data science, leveraging data to support decision-making and innovation within a forward-thinking, supportive environment that champions teamwork, continuous growth, and diversity.

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.

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.

Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services (e.g., BigQuery, Redshift, Data Factory) is beneficial.
Familiarity with collaborative tools such as Jupyter Notebooks, Git, or Agile project boards.
Knowledge of SQL for data querying and data wrangling tasks.
Exposure to data visualisation tools such as Tableau, Power BI, or similar reporting packages.
Understanding of basic data engineering concepts and workflow orchestration.

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.

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