Principal Data Scientist - R01568403

Brillio
United States
Workplace: RemoteFull timeUSD 180,000 - 190,000 annuallyFunction: Data Science & Machine LearningExperience: 15-18 yearsSkills: ["Leadership","Cross-functional collaboration","Mentoring","Technical excellence","Continuous learning"]

Design and implement robust statistical models and machine learning algorithms for large-scale analytics, from hypothesis testing and forecasting to classification and predictive analytics. Lead end-to-end delivery of data science projects, collaborating cross-functionally to turn business requirements into measurable impact. Build and deploy models using Python, PySpark, R, and ML frameworks like TensorFlow and PyTorch, while optimizing pipelines and monitoring with tools such as Great Expectations and Evidently AI. Mentor junior data scientists.

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Brillio
Brillio
2 months ago

Principal Data Scientist - R01568403

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Last checked: 11 hours agoStatus: Live

Job Summary

Design and implement robust statistical models and machine learning algorithms for large-scale analytics, from hypothesis testing and forecasting to classification and predictive analytics. Lead end-to-end delivery of data science projects, collaborating cross-functionally to turn business requirements into measurable impact. Build and deploy models using Python, PySpark, R, and ML frameworks like TensorFlow and PyTorch, while optimizing pipelines and monitoring with tools such as Great Expectations and Evidently AI. Mentor junior data scientists.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and implement statistical models and machine learning algorithms for large-scale 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 define business requirements and translate them into analytical solutions.
  • •Optimize and automate data pipelines and feature engineering using Python, PySpark, and R.
  • •Develop, validate, and maintain probabilistic graph models; build, train, and deploy models using ML frameworks and orchestration tools; establish evaluation and monitoring with Great Expectations and Evidently AI.

Pay and Benefits

Salary: USD 180,000 - 190,000 annually

Key Requirements

  • •15–18 years of experience in advanced data science roles with leadership in designing and deploying statistical and machine learning solutions.
  • •Expertise in hypothesis testing (T-Test, Z-Test) and advanced regression (linear and logistic).
  • •Strong programming skills in Python, PySpark, and R (R Studio).
  • •Hands-on experience with probabilistic graph models and forecasting methods such as Exponential Smoothing, ARIMA, and ARIMAX.
  • •Practical ML and deployment capabilities, including classification (Decision Trees, SVM) and frameworks/tools such as TensorFlow, PyTorch, Sci-Kit Learn, Kubeflow, and BentoML.
Experience:15-18 yearsAdvanced data science
Education:
Skills:LeadershipCross-functional collaborationMentoringTechnical excellenceContinuous learning
Tech Stack:PythonPySparkRR StudioSASSPSSTensorFlowPyTorchSci-Kit LearnCNTKKerasMXNetGreat ExpectationsEvidently AIKubeflowBentoMLExponential SmoothingARIMAARIMAXDecision Trees

Company Brief

Brillio
Provides digital transformation and IT consulting services, including cloud migration, analytics, digital engineering, and managed services to accelerate business outcomes for enterprises across industries.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Santa Clara, United States
Founded: 2014
WebsiteLinkedIn