Data Scientist

Data Scientist

Data Scientist

Amman, Amman Governorate

Jordan Commercial

Full time

Description

Job Brief:

Responsible for transforming data into valuable insights that drive strategic decisions, illuminating our understanding of our customer base, supporting our customer value extraction units, and playing a pivotal role in driving growth.

Key Responsibilities:

• Identify relevant sources for data collection purposes.
• Collect, clean, and preprocess data to ensure data quality and integrity.
• Design, develop and deploy end-to-end data solutions involving, data ingestion, transformation and visualization, including data pipelines, implementing APIs and creating interactive dashboards for stakeholders
• Apply statistical and machine learning techniques on customer data to extract meaningful insights relating to customer behavior and trends to drive marketing decision-making and strategies
• Apply machine learning techniques on behavioral, demographic, geographic and psychographic data for customer segmentation, and use these segments to inform personalized marketing strategies
• Develop and validate prediction models for telecom-related applications
• Communicate complex data insights to non-technical stakeholders through visualizations and reports effectively
• Work closely with cross-functional teams to understand business requirements, address data-related challenges and provide data-driven solutions
• Identify opportunities for process automation and optimization within the Customer Base Management unit operations and leveraging data-driven techniques to streamline workflows and improve efficiency
• Stay up-to-date with the latest advancements in data science, machine learning and current technologies
• Identify and explore solutions to enhance the Customer Base Management unit’s analytical capabilities.

Requirements

Education:

Bachelor’s degree in data science, Computer Science, Statistics, Mathematics or any other related field.

Level of Experience:

Limited Experience in a related field

Certifications & Licensure:

Desirable:

• Data science certification
• Python for data science
• SQL for data analysis
• Data visualization certification
• Data analytics certification

Tools & Systems:

• SQL proficiency
• Python proficiency
• ML libraries and frameworks (scikit-learn, TensorFlow, PyTorch)
• Data visualization tools (Matplotlib, ggplot, Superset, Tableau, Power BI)

Technical Skills & Knowledge:

• Extensive experience with common data science toolkits including Python, R, SQL
• Proficiency in using machine learning libraries and frameworks (scikit-learn, TensorFlow, PyTorch)
• Knowledge of a variety of ML techniques (clustering, decision tree leaning, artificial neural networks, etc.)
• Experience with creating data architectures, data modeling and data mining.
• Excellent applied statistical skills, such as distributions, statistical testing, regression.

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