Senior Data Specialist - R01571898

Brillio
Pune
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5-8 yearsEducation: bachelorsSkills: ["Communication","Cross-functional collaboration","Problem-solving"]

Design and implement advanced statistical and machine learning models to deliver business outcomes. Perform rigorous data analysis and forecasting using techniques such as regression, hypothesis testing, and time-series methods (ARIMA/ARIMAX). Build, train, and deploy predictive models with Python/PySpark and ML frameworks (TensorFlow, PyTorch, scikit-learn), including data validation and monitoring pipelines. Collaborate with cross-functional teams to translate requirements into analytics and streamline ML workflows.

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Brillio
Brillio
1 day ago

Senior Data Specialist - R01571898

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Job Summary

Design and implement advanced statistical and machine learning models to deliver business outcomes. Perform rigorous data analysis and forecasting using techniques such as regression, hypothesis testing, and time-series methods (ARIMA/ARIMAX). Build, train, and deploy predictive models with Python/PySpark and ML frameworks (TensorFlow, PyTorch, scikit-learn), including data validation and monitoring pipelines. Collaborate with cross-functional teams to translate requirements into analytics and streamline ML workflows.
Location: Pune
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement advanced statistical models, including hypothesis testing, regression, and classification algorithms, to drive business outcomes.
  • •Conduct statistical analysis on large datasets to extract actionable insights, including probabilistic graph model analysis.
  • •Build, train, and deploy predictive models for forecasting and classification using machine learning frameworks.
  • •Perform data cleaning, transformation, and exploratory analysis using Python, PySpark, R, and statistical tools like SAS or SPSS.
  • •Develop validation and monitoring pipelines to ensure data quality and model performance, and communicate findings effectively with cross-functional teams.

Key Requirements

  • •At least 5 years of hands-on experience in advanced data science, including statistical analysis and machine learning, with up to 8 years in related roles.
  • •Expertise in hypothesis testing (t-test, z-test) and advanced regression (linear and logistic).
  • •Strong programming proficiency in Python and PySpark, with hands-on experience using SAS or SPSS.
  • •Knowledge of probabilistic graph models and classification algorithms (e.g., decision trees, SVM).
  • •Experience with data validation/monitoring (e.g., Great Expectations) and time series forecasting (exponential smoothing, ARIMA/ARIMAX).
Experience:5-8 yearsData scienceMachine learning
Education:Bachelor's
Skills:CommunicationCross-functional collaborationProblem-solving
Certifications:Microsoft Certified: Azure Data Scientist AssociateSAS Certified Data ScientistPCEPPCAPR Programming Certification
Tech Stack:PythonPySparkRSASSPSSTensorFlowPyTorchScikit-learnGreat ExpectationsEvidently AIBentoMLKubeFlowARIMAARIMAXExponential smoothingClassification algorithmsRegressionT-testZ-testProbabilistic graph models

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