About the company:
Gabriel & Co. is a luxury fine jewelry and bridal design house headquartered in New York City with an expanding global footprint. The company is over 700 associates strong, with offices in the United States, China, India, Thailand, Lebanon, and Turkey.
Founded in 1989, family-owned and operated, the company has since evolved into an award-winning brand and industry leader. Combining bold, visionary thinking, cutting-edge technology, and extensive historical industry knowledge, Gabriel & Co. is focused on both customer and retailer experience.
With retailers nationwide and a strong E-Commerce platform, the company’s reach extends to all audiences. Gabriel & Co. was voted #1 Preferred Jewelry Brand 6 years in a row by industry publication InStore Magazine.
The story of Gabriel & Co. is one of passion and integrity, crafting unique and personal pieces that enhance and celebrate the beauty in every occasion and achievement.
Job Description:
Position: Data Scientist
Work Location: Lebanon / Remote
Business Vertical: IT / Data & Analytics
Report to: Data / Analytics Leadership
Job Type: Full-Time
Objective:
We are seeking an experienced and analytical Data Scientist to join our growing remote team. The ideal candidate will have 5–10 years of proven experience in data science, statistical modelling, machine learning, and business analytics. This role is ideal for someone who can work with large datasets, build and evaluate machine learning models, translate complex data into clear business insights, and collaborate closely with cross-functional teams to support data-driven decision-making across the organization.
The Data Scientist will play a key role in identifying opportunities, developing predictive models, building analytical tools, and transforming data into actionable strategies that support business growth and operational excellence.
Key Responsibilities:
- Design, implement, test, and evaluate machine learning models and algorithms to address 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 complex data findings into clear business insights, recommendations, and strategies.
- Partner with cross-functional teams to identify key data-driven opportunities and support business decision-making.
- Collaborate closely with Data Engineering teams to optimize data pipelines and ensure data quality, reliability, and readiness for model development and deployment.
- Design, run, and analyze experiments, including A/B testing, to evaluate product, process, or model effectiveness.
- Develop and maintain dashboards, reports, visualizations, and custom data tools for business reporting and analysis.
- Present findings clearly to technical and non-technical stakeholders.
- Manage data science projects from problem definition through modelling, deployment, monitoring, and ongoing improvement.
- Stay up to date with emerging data science, machine learning, AI, and analytics tools, techniques, and best practices.
Basic Qualifications:
- 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.
- Strong hands-on experience with Python and/or R for data analysis, statistical modelling, and machine learning.
- Strong experience using SQL for data extraction, manipulation, and analysis.
- Proven experience designing, building, testing, and evaluating machine learning models.
- Strong foundation in statistics, probability, hypothesis testing, predictive modelling, and advanced analytical techniques.
- Experience working with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or similar.
- Experience creating dashboards, reports, and visualizations using tools such as Tableau, Power BI, Looker, or similar.
- Ability to analyze large datasets and translate findings into actionable business insights.
- Experience collaborating with Data Engineering teams on data pipelines, data quality, and model deployment readiness.
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure is a plus.
- Familiarity with big data tools and frameworks such as Spark, Hadoop, Databricks, or similar is a plus.
- Experience with advanced machine learning techniques such as deep learning, NLP, or reinforcement learning is a plus.
- Strong project management skills, with the ability to manage data science initiatives from concept through deployment and maintenance.
- Excellent written and verbal English communication skills.
- Ability to work independently in a fully remote, distributed team environment.
- Strong problem-solving skills, business curiosity, and attention to detail.
