Lead Data Scientist

Starlink WLL; Doha; In loco; QAR 1.800.000 - 2.800.000; Tempo pieno

Descrizione del lavoro

Starlink WLL in Doha seeks a data analytics professional to develop sophisticated analytics programs, ML models, and visualization pipelines. You will prepare data, examine patterns, and collaborate with data engineers to automate model scoring, while monitoring and refining model performance amid evolving data and industry trends.

You will apply descriptive, predictive, and prescriptive modeling, manage large datasets from SQL/No-SQL/Big Data sources, and leverage Azure Synapse Analytics, Azure

Competenze

• Strong ability to process large amounts of data from different data sources (SQL, No-SQL, Big Data).
• Experience with machine learning and AI techniques.
• Proficiency in data visualization and reporting tools.

Mansioni

• Employ sophisticated analytics programs machine learning and statistical methods to deliver smart city use-cases
• Prepare data for use in predictive and prescriptive modeling
• Explore and examine data to find hidden patterns
• Create advance analytics and machine learning models through descriptive predictive and prescriptive modeling
• Visualize findings with industry standard tools
• Work with data engineer to automate model scoring and other work routines
• Monitor and fine-tune model performance in a steady state based on new variables requirements or industry trends best practices
• Strong knowledge of reporting and data visualization tools
• Strong knowledge of machine learning and artificial intelligence techniques

Conoscenze

Machine learning

Statistical analysis

Predictive modeling

Prescriptive modeling

Data visualization

Data preprocessing

SQL

No-SQL

Big Data

Azure Synapse Analytics

Azure Stream Analytics

Data Lake Analytics

HDInsight

Business thinking

Professional orientation

Achieving results

Managing people

Strumenti

Azure Synapse Analytics

Azure Stream Analytics

Data Lake Analytics

HDInsight

Descrizione del lavoro

• Employ sophisticated analytics programs machine learning and statistical methods to deliver smart city use-cases
• Prepare data for use in predictive and prescriptive modeling
• Explore and examine data to find hidden patterns
• Create advance analytics and machine learning models through descriptive predictive and prescriptive modeling
• Visualize findings with industry standard tools
• Work with data engineer to automate model scoring and other work routines
• Monitor and fine-tune model performance in a steady state based on new variables requirements or industry trends best practices
• Strong ability to process large amounts data from different data sources (SQL, No-SQL, Big Data)
• Strong knowledge of applied mathematical and statistical analysis
• Strong knowledge of machine learning and artificial intelligence techniques
• Strong knowledge of reporting and data visualization tools
• Business Thinking
• Professional Orientation
• Achieving Results
• Managing People
• PreferredTools: Azure Synapse Analytics, Azure Stream Analytics, Data Lake Analytics, HDInsight