Data Scientist

700Apps; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

Join a forward-thinking company as a Data Scientist, where you will transform data into actionable insights that drive strategic business decisions. In this dynamic role, you will analyze large datasets, develop predictive models, and leverage machine learning algorithms to extract valuable information. Collaborating with cross-functional teams, you will ensure that initiatives are data-driven and optimized for success. This innovative firm is committed to continuous improvement, staying updated on the latest methodologies and tools in data science. If you are passionate about data and its potential to influence business outcomes, this opportunity is perfect for you.

Qualifications

• Expertise in analyzing complex datasets and developing predictive models.
• Strong knowledge of machine learning algorithms and statistical methods.

Responsibilities

• Analyze datasets to uncover trends that inform business strategies.
• Design predictive models and collaborate with cross-functional teams.

Skills

Data Analysis

Machine Learning

Statistical Modeling

Data Visualization

Collaboration

Job description

As a Data Scientist at 700Apps, you will be at the forefront of turning data into actionable insights that drive business decisions. You will analyze large datasets to develop predictive models and leverage machine learning algorithms to extract valuable information. Your role will bridge the gap between data analysis and strategic planning, ensuring that our initiatives are data-driven and optimized for success.

Key Responsibilities

• Data Analysis: Analyze and interpret complex datasets to uncover trends and patterns that inform business strategies.
• Model Development: Design and implement predictive models and algorithms to solve business problems and enhance decision-making.
• Collaboration: Work closely with cross-functional teams, including business development, marketing, and IT, to understand their data needs and provide analytical solutions.
• Data Visualization: Create compelling visualizations and dashboards to communicate findings and insights to stakeholders clearly and effectively.
• Statistical Modeling: Apply statistical methods to validate models and ensure their robustness and applicability.
• Continuous Improvement: Stay updated on the latest data science methodologies, tools, and technologies, continuously improving our data practices.
• Documentation: Maintain thorough documentation of data processes, methodologies, and analysis results to ensure transparency and reproducibility.