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Senior Data Specialist R
Job Location:
Monthly Salary:
Posted:
27 September 2026 (2 days ago)
Posted:
Application Deadline:
25 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Senior Data Specialist
Job requirements
Experience Range: With at least 5 years of hands-on experience in advanced data science including statistical analysis and machine learning and up to 8 years in related roles Key Responsibilities:
- Design and implement advanced statistical models including hypothesis testing regression analysis and classification algorithms to drive business outcomes
- Conduct rigorous statistical analysis using t-tests z-tests and probabilistic graph models to extract actionable insights from large datasets
- Build train and deploy predictive models for forecasting and classification tasks using machine learning frameworks such as TensorFlow PyTorch and Sci-Kit Learn
- Perform data cleaning transformation and exploratory analysis utilizing Python PySpark R and statistical tools like SAS or SPSS
- Apply time series forecasting methods including exponential smoothing ARIMA and ARIMAX to predict trends and inform strategic decisions
- Develop and maintain data validation and monitoring pipelines to ensure data quality and model performance
- Collaborate with cross-functional teams to translate business requirements into analytical solutions and communicate findings effectively
- Automate machine learning workflows to streamline deployment and enhance scalability
Required Skills:
- Expertise in hypothesis testing (t-test z-test)
- Advanced regression analysis (linear and logistic)
- Programming proficiency in Python and PySpark
- Hands-on experience with SAS or SPSS for statistical computing
- Knowledge of probabilistic graph models
- Experience with data validation frameworks such as Great Expectations
- Time series forecasting techniques (exponential smoothing ARIMA ARIMAX)
- Familiarity with classification algorithms (decision trees SVM)
- Experience with machine learning frameworks (TensorFlow PyTorch Sci-Kit Learn)
- Proficiency in R for statistical modeling
Preferred Skills:
- Experience with distance metrics (Hamming Euclidean Manhattan)
- Expertise in model monitoring tools beyond Great Expectations such as Evidently AI
- Experience in deploying models using BentoML
- Familiarity with orchestration tools for ML workflows such as KubeFlow
- Background in designing scalable machine learning pipelines
Desired Qualifications:
- Bachelors degree in Computer Science Statistics Mathematics Data Science or a closely related discipline
- Certification in Data Science Machine Learning or Advanced Analytics (e.g. Microsoft Certified: Azure Data Scientist Associate SAS Certified Data Scientist)
- Certification in Python or R programming (e.g. PCEP PCAP R Programming Certification)
Additional Information: Immediate joiner required
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:
Senior IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
