Job Type: Full-Time
Location: Trinidad and Tobago (Remote)
Job Summary:
A Data Scientist is responsible for analyzing complex datasets to extract insights, build predictive models, and support data-driven decision-making.
Job Description
- Data Collection & Cleaning Gather and preprocess data from various sources to ensure accuracy.
- Statistical Analysis & Modeling Apply machine learning algorithms and statistical techniques to uncover patterns.
- Data Visualization & Reporting Present findings using dashboards and reports for business stakeholders.
- Big Data Processing Work with large datasets using tools like Hadoop, Spark, and cloud platforms.
- Collaboration & Strategy Work with cross-functional teams to align data initiatives with business goals.
- Data Governance & Security Ensure compliance with data privacy regulations and best practices.
Required Skills
- Proficiency in Python, R, SQL, and data visualization tools.
- Strong understanding of machine learning, deep learning, and AI algorithms.
- Experience with big data technologies (Hadoop, Spark, TensorFlow).
- Knowledge of cloud computing platforms (AWS, Azure, GCP).
- Advanced understanding of statistical analysis and predictive modeling.
- Ability to communicate complex data insights to non-technical stakeholders.
- Experience working within banking industry is an asset.
Educational Requirements
- A bachelors degree in data science, computer science, mathematics, or a related field.
- A masters degree or Ph.D. is often preferred for senior roles.
- Certifications like Google Professional Data Scientist or AWS Certified Machine Learning Specialty can enhance qualifications.
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