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Data Scientist R
Job Location:
Monthly Salary:
Posted:
2 October 2026 (Yesterday)
Posted:
Application Deadline:
3 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Data Scientist
Job requirements
- Design and implement robust statistical models using advanced hypothesis testing regression and forecasting techniques to deliver actionable business insights
- Develop and optimize machine learning algorithms for classification prediction and probabilistic graph models utilizing Python PySpark and R
- Conduct comprehensive statistical analysis with SAS SPSS and R Studio to support data-driven decision-making
- Build train and deploy scalable models using ML frameworks such as TensorFlow PyTorch Sci-Kit Learn CNTK Keras and MXNet
- Apply advanced time series forecasting methods including exponential smoothing ARIMA and ARIMAX to analyze trends and predict outcomes
- Streamline model deployment and lifecycle management in production environments using KubeFlow and BentoML
- Implement and validate data quality checks with Great Expectations and Evidently AI to ensure dataset integrity
- Present complex data findings to stakeholders translating insights into actionable recommendations that drive business outcomes
- Advanced application of hypothesis testing methodologies including T-Test and Z-Test
- Expert-level regression analysis (linear and logistic) for predictive modeling
- Proficient programming in Python and PySpark for data manipulation and model development
- Extensive experience with statistical analysis using SAS and SPSS
- Hands-on expertise in probabilistic graph models for complex data relationships
- Mastery of time series forecasting techniques (exponential smoothing ARIMA ARIMAX)
- Implementation of classification algorithms such as decision trees and support vector machines (SVM)
- Deep familiarity with ML frameworks: TensorFlow PyTorch Sci-Kit Learn CNTK Keras MXNet
- Calculation and application of distance metrics (Hamming Euclidean Manhattan)
- Skilled in R and R Studio for statistical analysis and visualization
- Practical experience with Great Expectations and Evidently AI for advanced data validation
- Proficiency in cloud-based model deployment tools such as KubeFlow and BentoML
- Background in large-scale data processing and distributed computing environments
- Expertise in feature engineering and model interpretability techniques
- Familiarity with cloud-based data science platforms such as AWS SageMaker Azure ML or Google Cloud AI Platform
- Bachelors degree in Computer Science Statistics Mathematics Data Science or a closely related discipline
- Certification in Data Science or Machine Learning from a recognized institution such as Microsoft Certified: Azure Data Scientist Associate or TensorFlow Developer Certificate
Experience Range: With at least 4 years of hands-on experience in advanced data science including statistical analysis and machine learning and up to 6 years in similar roles Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
