Data Scientist (Arabic Speaker)
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Key skills for this role
About the Role
DICETEK LLC is looking for a Data Scientist (Arabic Speaker) to co-develop analytical engines based on statistical and machine learning algorithms. You will process data, build pipelines, devise algorithms, and support deployment into existing IT infrastructure.
Key Skills for This Role
Responsibilities
- Co develop analytical engines based on statistical and machine learning algorithms
- Conduct analytical experiments methodically with guidance from technology lead
- Process relevant data sources and build clear data cleaning pipelines
- Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models
- Analyze data for trends and patterns, apply statistical and machine learning algorithms
- Support the deployment of analytical models into existing IT infrastructure by collaborating with DevOps engineers and Product owners
- Maintain delivered solutions sustainability after the development phase
Requirements
- Bachelor's or Master's degree in information systems, data analytics, data science, computer science, economics, risk management or another quantitative related field
- Experience with Excel, SQL, Python, basic BI development
- Proficiency in data processing (Pandas), statistical analysis, and machine learning algorithms
- Knowledge in building data processing pipelines & ETLs
- Experience in implementing predictive engines with a focus on time series forecast
- Experience in writing API calls based on specifications
- Experience in automated testing, ability to write mock and unit tests to test both model inputs and outputs
- Effective collaboration, experience in working with Scrum/Agile teams & task tracking
- Arabic speaker
Full Job Posting
Summary of role
- Co development of analytical engines based on statistical and machine learning algorithms
- Creation of sustainable digital solutions integrated with existing IT infrastructure in collaboration with business
Responsibilities
- Conducts analytical experiments methodically with guidance from technology lead to help solve various problems and make a true impact across multiple domains and situations
- Process relevant data sources and build clear data cleaning pipelines to feed data points and variables to the models in a well structured format
- Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy for visualization to business
- Analyze data for trends and patterns, apply statistical and machine learning algorithms, and interpret data with a clear objective in mind in line with project goals and milestones
- Support the deployment of analytical models into existing IT infrastructure by collaborating with DevOps engineers and Product owners
- Maintain delivered solutions sustainability after the development phase
Required Qualifications & experience
- Bachelor's or Master's degree in information systems, data analytics, data science, computer science, economics, risk management or another quantitative related field
- Experience with Excel, SQL, Python, basic BI development
- Proficiency in data processing (Pandas), statistical analysis, and machine learning algorithms
- Knowledge in building data processing pipelines & ETLs
- Experience in implementing predictive engines with a focus on time series forecast
- Experience in writing API calls based on specifications
- Experience in automated testing, ability to write mock and unit tests to test both model inputs and outputs
- Effective collaboration, experience in working with Scrum/Agile teams & task tracking
Additional considerations
- The preferred profile is "all the way rounder" rather than a person with deep expertise in only something specific
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