We are looking for an analytical and business-oriented IT Data Scientist to support data-driven decision-making across the organization. This role will focus on developing predictive models, extracting insights from complex datasets, and translating analytical results into actionable business recommendations.
You will work closely with IT, business, and analytics stakeholders to drive value through data, improve operational performance, and support strategic initiatives.
Responsibilities
- Analyze large, structured, and unstructured datasets to identify trends, patterns, and business insights.
- Develop, validate, and deploy statistical models, machine learning algorithms, and predictive analytics solutions.
- Translate complex data findings into clear insights and recommendations for business stakeholders.
- Collaborate with data engineers and IT teams to ensure data quality, availability, and scalability.
- Design and maintain dashboards, reports, and data visualizations to support decision-making.
- Support experimentation, forecasting, and scenario analysis to improve business outcomes.
- Ensure adherence to data governance, security, and compliance standards.
- Document models, methodologies, and analytical processes.
Requirements
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- Minimum 2 years of experience in data analysis, data science, or advanced analytics roles.
- Strong proficiency in Python or R, SQL, and data manipulation techniques.
- Familiarity with data visualization tools (e.g., Power BI, Tableau).
- Strong understanding of probability, statistics, and analytical problem-solving.
- Experience working with large datasets and cloud-based analytics platforms is an advantage.
