Data Science & Analytics Manager
- Industry Type
- Air Conditioning, Refrigeration, HVAC
- Functional Area
- IT Information Technology Industry AirConditioning, Refrigeration, HVAC
- Nationality
- Any
- Keywords
- Data Analysis Predictive Modeling Business Intelligence Stakeholder Communication Automation
Job Description
The Data Science & Analytics Manager at Jobs for Humanity in Riyadh will develop and deploy data-driven models to improve business decisions and performance. The role includes building predictive models, delivering insights, automating analytics workflows, and enhancing model accuracy.
- Position
- Data Science & Analytics Manager
- Company
- Jobs for Humanity
- Location
- Riyadh, Saudi Arabia
- Industry
- Air Conditioning, Refrigeration, HVAC
- Experience
- 1 to 20 years
Responsibilities
- Develop and deploy data-driven models and insights to optimize business decisions and improve performance.
- Build accurate predictive models.
- Deliver actionable insights to stakeholders.
- Automate analytics and reporting workflows.
- Improve model performance.
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About the role: Data Science & Analytics Manager
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Data Science & Analytics Managers lead teams that analyze data to help businesses make informed decisions. They typically work in industries like air conditioning, refrigeration, and HVAC to improve operations and customer satisfaction. These managers often work in office settings or industrial environments.
What this role usually involves
- Oversee data collection and analysis projects to support business goals
- Develop and implement data models and algorithms
- Manage a team of data scientists and analysts
- Collaborate with other departments to understand data needs
- Present findings and recommendations to management
- Ensure data quality and compliance with company standards
Skills employers usually look for
- Strong knowledge of data analysis and statistical methods
- Experience with data visualization tools
- Good leadership and team management abilities
- Problem-solving and critical thinking skills
- Effective communication skills to explain complex data
- Familiarity with programming languages like Python or R
Usual qualifications
- A degree in data science, computer science, statistics, or a related field
- Experience in data analysis and management
- Knowledge of the HVAC or related industry is beneficial
- Training in leadership or project management is often preferred
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