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Why this grade This listing scored 23/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Corroboration 10 / 10 Whether more than one source carries this listing.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Job Type: Full-Time
Location: Barbados (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.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 10 Jul 2026 Himalayas first sighting
Seen on 1 board over 0 days.