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Principal Data Scientist - R01566418

6 hours, 44 minutes ago
United States
Full-time
Lead
Data Scientist
Data Science and Analytics
Apache Spark Feature Engineering 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 10

Description

  • Design and implement statistical models and machine learning algorithms for large-scale data analysis and predictive analytics.
  • Lead end-to-end data science projects, including hypothesis testing, regression analysis, classification, and forecasting.
  • Collaborate with cross-functional teams to define business requirements and translate them 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 and support technical excellence within the team.

Requirements

  • 15–18 years of experience in advanced data science roles with leadership in designing and deploying statistical and machine learning solutions.
  • Strong 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.
  • Experience with forecasting methods such as Exponential Smoothing, ARIMA, and ARIMAX.
  • Practical experience with classification algorithms including 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 degree in Data Science, Statistics, Computer Science, Mathematics, or a related field (preferred).
  • Relevant certifications in machine learning, statistical analysis, or advanced data science (preferred).
  • Experience implementing advanced model monitoring with Evidently AI (preferred).
  • Experience with large-scale distributed computing environments (preferred).
  • Strong background in statistical validation and reproducibility best practices (preferred).

Benefits

  • Salary range of $185,000–$190,000 per year.
  • Remote work arrangement.
  • Opportunity to work on innovative digital and AI/data engineering projects for Fortune 1000 clients.
  • Equal opportunity employer with inclusive hiring practices.
  • AI-assisted hiring process with human-reviewed final decisions.

Interested in this position?

Apply directly on the company website

Apply Now

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