Remote Data Scientist (Lebanon)

About the role

Gabriel & Co., a luxury fine jewelry and bridal design house founded in 1989 and headquartered in New York City, is hiring a Data Scientist for its remote team based in Lebanon. The role sits within the IT / Data & Analytics vertical and reports to the Data / Analytics leadership. It suits someone with 5-10 years of experience who can work with large datasets, build and evaluate machine learning models and turn complex data into clear business insights.

Key responsibilities

• Design, implement, test and evaluate machine learning models and algorithms to meet business needs.
• Analyze large and complex datasets to identify trends, patterns, risks and opportunities.
• Conduct advanced statistical analysis, including hypothesis testing, predictive modelling and data interpretation.
• Translate data findings into clear business insights, recommendations and strategies.
• Partner with cross-functional teams to identify data-driven opportunities and support decision-making.
• Collaborate with Data Engineering teams to optimize data pipelines and ensure data quality and reliability.
• Design, run and analyze experiments, including A/B testing, to evaluate products, processes or models.
• Develop dashboards, reports, visualizations and custom data tools, and present findings to technical and non-technical stakeholders.
• Manage data science projects from problem definition through modelling, deployment, monitoring and improvement.

Required profile

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or a related field.
• Minimum 5 years of professional experience as a Data Scientist or in a similar data-focused role.
• Proven experience designing, building, testing and evaluating machine learning models.
• Experience collaborating with Data Engineering teams on data pipelines, data quality and model deployment readiness.
• Ability to work independently in a fully remote, distributed team and strong written and verbal English.

Required skills

• Python and/or R for data analysis, statistical modelling and machine learning.
• SQL for data extraction, manipulation and analysis.
• Machine learning frameworks such as Scikit-Learn, TensorFlow or PyTorch.
• Dashboards and visualizations with Tableau, Power BI, Looker or similar.
• Cloud platforms (AWS, Google Cloud, Azure) and big data tools (Spark, Hadoop, Databricks) are a plus.