Data Scientist

Company Description Mona Trading LLC, founded in 1973, has grown from a small regional company into a recognized enterprise serving manufacturing, industrial, oil & gas, and construction sectors across a broad region. The company is known for introducing innovative technologies, ensuring optimal product quality, and delivering comprehensive service. Mona Trading LLC emphasizes ethical business practices and mutual trust in all relationships with clients and suppliers. Team members join a stable, long-standing organization that values professional integrity and long-term partnerships. The company’s diverse customer base and sectors offer exposure to complex, real-world data challenges.
Role Description The Data Scientist will be responsible for collecting, processing, and analyzing large datasets to generate insights that support business decisions across Mona Trading LLC’s key sectors. Day-to-day tasks include building and validating statistical and machine learning models, designing experiments, and developing dashboards and reports to communicate findings to stakeholders. The role involves working closely with cross-functional teams to identify data-driven opportunities, define metrics, and improve operational efficiency and customer outcomes. The Data Scientist will also help maintain data pipelines, ensure data quality, and document methodologies and results in a clear, accessible format. This is a full-time remote role.
Qualifications
Strong foundation in Data Science and Data Analytics, with experience applying these skills to business problems.
Proficiency in Statistics and Data Analysis for modeling, hypothesis testing, and performance evaluation.
Ability to create clear and informative Data Visualization to present complex findings to non-technical stakeholders.
Hands-on experience with programming languages commonly used in data science (e.g., Python or R) and data querying tools (e.g., SQL).
Familiarity with machine learning frameworks and libraries, and experience deploying models into production environments is an advantage.
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field.
Strong problem-solving skills, attention to detail, and ability to work independently in a remote setting while collaborating effectively with distributed teams.
Experience working with data from industrial, manufacturing, or oil & gas sectors is a plus.

Work arrangement
Yes