Data Scientist

Brillio
Pune
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: []

Design, develop, and deploy advanced statistical and machine learning models to solve business problems. Conduct rigorous statistical analysis, build probabilistic and forecasting models, and create classification/regression solutions using Python-based tooling and ML frameworks. Implement data quality checks with Great Expectations and Evidently AI, then deploy and monitor models in production using cloud-native tools such as KubeFlow and BentoML. Collaborate with stakeholders to translate requirements into analytics.

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FursaFursa
Brillio
Brillio
1 day ago

Data Scientist

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Last checked: 11 hours agoStatus: Live

Job Summary

Design, develop, and deploy advanced statistical and machine learning models to solve business problems. Conduct rigorous statistical analysis, build probabilistic and forecasting models, and create classification/regression solutions using Python-based tooling and ML frameworks. Implement data quality checks with Great Expectations and Evidently AI, then deploy and monitor models in production using cloud-native tools such as KubeFlow and BentoML. Collaborate with stakeholders to translate requirements into analytics.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy advanced statistical and machine learning models using Python, R, and specialized frameworks.
  • •Conduct rigorous statistical analysis, including hypothesis testing, regression analysis, and probabilistic modeling, to derive actionable insights.
  • •Implement and validate data quality checks using tools such as Great Expectations and Evidently AI to ensure data and model integrity.
  • •Build, optimize, and maintain forecasting models (exponential smoothing, ARIMA, ARIMAX) to support business planning.
  • •Deploy and monitor models in production environments using scalable cloud-native tools such as KubeFlow and BentoML.

Key Requirements

  • •At least 4 years of experience in advanced data science, statistical analysis, and machine learning model development, including deployment in production environments.
  • •Advanced proficiency in Python and PySpark for data analysis and model development.
  • •Expertise in statistical analysis using SAS or SPSS, including regression techniques and hypothesis testing (T-Test, Z-Test).
  • •Hands-on experience with probabilistic graphical models, classification algorithms (Decision Trees, SVM), and forecasting methods (exponential smoothing, ARIMA, ARIMAX).
  • •Working knowledge of data validation and monitoring tools such as Great Expectations and Evidently AI; familiarity with distance metrics (Hamming, Euclidean, Manhattan) and R/RStudio is preferred.
Experience:4+ years
Education:Bachelor's in Computer Science, Statistics, Mathematics, Data Science, or a closely related discipline
Certifications:Microsoft Certified: Azure Data Scientist AssociateIBM Data Science Professional Certificate
Tech Stack:PythonPySparkSASSPSSTensorFlowPyTorchSci-Kit LearnScikit LearnKerasMXNetCNTKKubeFlowBentoMLGreat ExpectationsEvidently AIAWS SageMakerAzure MLGoogle AI PlatformExponential smoothingARIMA

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