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 using statistical and machine learning algorithms. The role involves building data pipelines, deploying models into IT infrastructure, and collaborating with DevOps and product teams.
Key Skills for This Role
Responsibilities
- Co develop analytical engines based on statistical and machine learning algorithms
- Create sustainable digital solutions integrated with existing IT infrastructure
- 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 deployment of analytical models into existing IT infrastructure
- Maintain delivered solutions sustainability after development phase
Requirements
- Bachelor's or Master's degree in information systems, data analytics, data science, computer science, economics, risk management or related quantitative 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 focus on time series forecast
- Experience in writing API calls based on specifications
- Experience in automated testing, ability to write mock and unit tests
- 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
- 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
- Analyze data for trends and patterns, apply statistical and machine learning algorithms
- Support the deployment of analytical models into existing IT infrastructure
- 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
- 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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