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Principal Data Scientist - R01568403

2 hours, 7 minutes ago
United States
Full-time
Lead
Data Scientist
Data Science and Analytics
Apache Spark Feature Engineering Keras Kubeflow Machine Learning Python PyTorch R Scikit-learn TensorFlow
Apply Now
Brillio

Brillio

Brillio is a global leader in Enterprise Digital Transformation Solutions, partnering with companies to drive business improvement and competitiveness through innovative technology solutions.

IT Services
1K-5K
Founded 2014
View All Jobs 9

Description

  • Design and implement statistical models and machine learning algorithms for large-scale data analysis and predictive analytics.
  • Lead end-to-end data science project development, including hypothesis testing, regression, classification, and forecasting.
  • Collaborate with cross-functional teams to translate business needs into analytical solutions.
  • Optimize and automate data pipelines using Python, PySpark, and R for efficient data processing and feature engineering.
  • Develop, validate, and maintain probabilistic graph models and advanced statistical computing frameworks.
  • Build, train, and deploy models using frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn.
  • Establish model evaluation and monitoring processes using tools like Great Expectations and Evidently AI.
  • Mentor and guide junior data scientists to support technical excellence and continuous learning.

Requirements

  • 15–18 years of experience in advanced data science roles with leadership in statistical and machine learning solution design and deployment.
  • Expertise in hypothesis testing, including T-Test and Z-Test methodologies.
  • Advanced proficiency in regression techniques, including linear and logistic regression.
  • Strong programming skills in Python, PySpark, and R/R Studio.
  • Hands-on experience with SAS and SPSS for statistical analysis and computing.
  • In-depth knowledge of probabilistic graph models and forecasting methods such as Exponential Smoothing, ARIMA, and ARIMAX.
  • Practical experience with classification algorithms such as Decision Trees and Support Vector Machines (SVM).
  • Proficiency with ML frameworks including TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet.
  • Working knowledge of Kubeflow and BentoML for model deployment and orchestration.
  • Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related field; relevant certifications preferred.

Benefits

  • Brillio is an equal opportunity employer.
  • Employment decisions are made regardless of age, ancestry, color, disability, gender identity or expression, marital status, military or veteran status, race, religion, sex, sexual orientation, and other protected characteristics.
  • The company is recognized as a Great Place to Work® year after year.
  • The role is part of Brillio’s data and AI practice, which offers exposure to innovative digital projects.

Interested in this position?

Apply directly on the company website

Apply Now

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