The Role
Lead classic ML data science efforts: design and validate statistical analyses and models, build forecasting and classification solutions, use ML frameworks and MLOps tools to productionize and monitor models, and guide an AI/ML engineering team.
Summary Generated by Built In
Senior Data Science Lead:
Classic ML
Primary Skills
- 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
Specialization
- Data Science Advanced: AI/ML Engineer
Job requirements
- Data Science lead-Classic ML
Top Skills
Bentoml
Cntk
Evidently Ai
Great Expectations
Keras
Kubeflow
Mxnet
Pyspark
Python
PyTorch
R
Rstudio
SAS
Scikit-Learn
Spss
TensorFlow
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
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