Senior Data Science Lead R
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Job Summary
- Hypothesis Testing T-Test Z-Test Regression (Linear Logistic) Python/PySpark SAS/SPSS Statistical analysis and computing Probabilistic Graph Models Great Expectation Evidently AI Forecasting (Exponential Smoothing ARIMA ARIMAX) Tools(KubeFlow BentoML) Classification (Decision Trees SVM) ML Frameworks (TensorFlow PyTorch Sci-Kit Learn CNTK Keras MXNet) Distance (Hamming Distance Euclidean Distance Manhattan Distance) R/ R Studio
- Data Science Advanced: Data Specialist
Experience Range: 12 years of experience in data science including hands-on expertise in advanced statistical modeling and machine learning
- Location: Deerfield Beach FL
- Work Type: Hybrid min 3 days onsite per week
Key Responsibilities:
1. Lead the design and implementation of complex data science solutions to drive business impact and inform strategic decision-making
2. Develop validate and optimize advanced statistical and machine learning models including regression classification and forecasting algorithms
3. Collaborate with cross-functional teams to translate business objectives into actionable analytics projects and deliver measurable outcomes
4. Mentor and guide junior data scientists fostering a culture of technical excellence and continuous learning
5. Leverage Python R and relevant frameworks to build scalable data pipelines and automate model deployment using tools such as KubeFlow and BentoML
6. Conduct rigorous statistical analysis including hypothesis testing T-Test Z-Test and probabilistic graph modeling to uncover actionable insights
7. Implement and monitor model validation explainability and performance tracking using tools like Great Expectation and Evidently AI
8. Stay current with emerging trends in machine learning artificial intelligence and big data technologies to drive innovation within the teamRequired Skills:
1. Expertise in hypothesis testing T-Test and Z-Test
2. Advanced proficiency in regression techniques (linear and logistic)
3. Strong programming skills in Python and PySpark
4. Experience with SAS or SPSS for statistical analysis and computing
5. Hands-on knowledge of probabilistic graph models
6. Proficiency with machine learning frameworks such as TensorFlow PyTorch Sci-Kit Learn CNTK Keras or MXNet
7. Forecasting techniques including exponential smoothing ARIMA and ARIMAX
8. Experience with model deployment tools such as KubeFlow and BentoML
9. Strong understanding of classification algorithms (decision trees SVM)
10. Proficiency in R and R StudioPreferred Skills:
1. Experience with Great Expectation and Evidently AI for model validation and monitoring
2. Knowledge of advanced distance metrics (Hamming Euclidean Manhattan)
3. Expertise in scalable data engineering for machine learning pipelines
4. Hands-on experience with cloud-based machine learning platforms
5. Familiarity with MLOps best practices and CI/CD for data scienceDesired Qualifications:
1. Masters or PhD in Data Science Statistics Computer Science Mathematics or a related quantitative field
2. Relevant certifications in machine learning data science or analytics (e.g. TensorFlow SAS or equivalent)
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.
