Data Scientist at Mawingu

This role involves utilizing advanced analytics and machine learning to extract insights from large datasets, develop models, and identify patterns to predict trends. The role holder will also design data infrastructure, ensure data quality, and promote a data-driven culture.

Key Responsibilities:

• Machine Learning & Predictive Analytics: Develop models to analyze data, identify patterns, and forecasttrends.
• Data Analysis & Visualization: Conduct analysis and collaborate on clear, impactful data visualizations.
• Strategic Project Execution: Identify and prioritize key data-driven initiatives with leadership.
• Data Infrastructure & Quality: Maintain scalable data pipelines and ensure data accuracy.
• Customer Insights & Segmentation: Analyze customer data to improve targeting and engagement.

Skills & Qualifications:

• Education: Bachelor's or Master's in Data Science, Computer Science, Statistics, or a related field.
• Experience: 5+ years as a Data Scientist, ideally in telecom or ISP.
• Technical Skills: Proficient in Python/R, ML frameworks (TensorFlow, scikit-learn), SQL/NoSQL, big data tools (Hadoop, Spark), and cloud platforms (AWS, Google Cloud, Azure).
• Data & Visualization: Experience with Tableau, Power BI, and data warehousing (Redshift, BigQuery).
• Soft Skills: Strong analytical, problem-solving, and communication skills; collaborative team player.