Data Scientist - R01571773

Brillio
Pune, Maharashtra
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Collaboration","Stakeholder communication","Documentation","Continuous improvement"]

Design, develop, and deploy advanced statistical and machine learning models to solve complex business problems. Conduct hypothesis testing, regression, probabilistic modeling, and forecasting using methods like ARIMA/ARIMAX and exponential smoothing. Implement data quality checks with Great Expectations and Evidently AI, collaborate with cross-functional teams to translate requirements into analytics, and deploy/monitor models in production using tools such as KubeFlow and BentoML.

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Brillio
Brillio
1 day ago

Data Scientist - R01571773

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Last checked: 11 hours agoStatus: Live

Job Summary

Design, develop, and deploy advanced statistical and machine learning models to solve complex business problems. Conduct hypothesis testing, regression, probabilistic modeling, and forecasting using methods like ARIMA/ARIMAX and exponential smoothing. Implement data quality checks with Great Expectations and Evidently AI, collaborate with cross-functional teams to translate requirements into analytics, and deploy/monitor models in production using tools such as KubeFlow and BentoML.
Location: Pune, Maharashtra
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 to address business challenges.
  • •Perform rigorous statistical analysis (hypothesis testing, regression analysis, probabilistic modeling) to generate actionable insights from large datasets.
  • •Implement and validate data quality checks using tools such as Great Expectations and Evidently AI to ensure data and model integrity.
  • •Develop, optimize, and maintain forecasting models using exponential smoothing, ARIMA, and ARIMAX for business planning support.
  • •Deploy and monitor models in production environments using scalable cloud-native tools such as KubeFlow and BentoML.

Key Requirements

  • •4+ years of advanced data science experience, including statistical analysis and machine learning model development and production deployment.
  • •Advanced proficiency in Python and PySpark, with expertise in statistical analysis using SAS or SPSS.
  • •Strong statistical fundamentals: hypothesis testing (T-Test, Z-Test), regression (linear/logistic), and probabilistic graphical models.
  • •Experience building forecasting and classification/regression models (e.g., exponential smoothing, ARIMA/ARIMAX, decision trees, SVMs).
  • •Hands-on experience with data validation/monitoring tools such as Great Expectations and Evidently AI; ability to deploy/monitor models in production.
Experience:4+ years
Education:Bachelor's
Skills:CollaborationStakeholder communicationDocumentationContinuous improvement
Certifications:Microsoft Certified: Azure Data Scientist AssociateIBM Data Science Professional Certificate
Tech Stack:PythonPySparkSASSPSSTensorFlowPyTorchSci-Kit LearnKerasMXNetCNTKGreat ExpectationsEvidently AIKubeFlowBentoMLRR StudioARIMAARIMAXExponential smoothingHamming Distance

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