Data Scientist

Müller`s Solutions; Saudi Arabia; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading data solutions firm in Saudi Arabia is seeking an experienced Data Scientist to join their dynamic team. The role involves leveraging analytical and programming skills to transform data into actionable insights, developing predictive models, and mentoring junior analysts. Candidates should be adept in conveying technical findings to non-technical stakeholders. This position offers the opportunity to stay at the forefront of data science techniques and industry trends.

Responsibilities

• Analyze vast amounts of structured and unstructured data to derive insights.
• Develop and maintain machine learning models for business needs.
• Work with stakeholders to translate business requirements.
• Conduct experiments and validate analytical models.
• Create visualizations and dashboards for findings.
• Stay updated on trends and technologies in data science.
• Ensure data integrity and governance.
• Mentor junior data analysts on best practices.

Job description

Overview

Müller70s Solutions is looking for an experienced Data Scientist to join our dynamic team. In this position, you will leverage your analytical and programming skills to transform data into actionable insights that drive business decisions. You will collaborate closely with various departments to develop predictive models, enhance data-driven strategies, and optimize processes using cutting-edge data science techniques.

Responsibilities

• Analyze vast amounts of structured and unstructured data to derive insights and generate actionable recommendations.
• Develop, implement, and maintain machine learning models to address specific business needs.
• Work alongside stakeholders to define project objectives and translate business requirements into technical tasks.
• Conduct experiments and validate analytical models using appropriate methodologies.
• Create data visualizations and dashboards to effectively communicate technical findings and results to non-technical stakeholders.
• Stay abreast of industry trends and emerging technologies in data science and analytics.
• Ensure data integrity and adherence to data governance principles.
• Mentor junior data analysts and provide guidance on data science best practices.