Data Scientist

Brillio
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4-6 yearsEducation: bachelorsSkills: ["Collaboration","Data-driven decision-making","Problem-solving"]

Develop and deploy next-best-offer and other advanced data science solutions to improve customer engagement and business outcomes. Use statistical methods (hypothesis testing and regression), probabilistic graph models, and machine learning models to generate actionable insights. Build and optimize scalable ML pipelines for deployment, monitor model performance, and partner with cross-functional teams to translate business needs into effective data-driven products.

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FursaFursa
Brillio
Brillio
2 days ago

Data Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live
Reposted: similar role first listed 1 year ago

Job Summary

Develop and deploy next-best-offer and other advanced data science solutions to improve customer engagement and business outcomes. Use statistical methods (hypothesis testing and regression), probabilistic graph models, and machine learning models to generate actionable insights. Build and optimize scalable ML pipelines for deployment, monitor model performance, and partner with cross-functional teams to translate business needs into effective data-driven products.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and implement Next Best Offer models and advanced data science solutions to meet business objectives.
  • •Apply hypothesis testing and regression to extract actionable insights supporting data-driven decisions.
  • •Build, validate, and optimize ML models using Python, PySpark, and R for accuracy and reliability.
  • •Use probabilistic graph models and classification algorithms (e.g., decision trees, SVM) to solve complex business problems.
  • •Optimize and automate ML pipelines for scalable deployment and monitor model performance, recommending improvements.

Key Requirements

  • •4 to 6 years of experience in advanced data science with hands-on machine learning and statistical modeling.
  • •Proficiency in Python, PySpark, and R, with experience building, validating, and optimizing ML models.
  • •Strong statistical skills including hypothesis testing and regression methods to drive data-driven decisions.
  • •Experience with probabilistic graph models and classification algorithms such as decision trees and support vector machines.
  • •Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, Data Science) and/or relevant ML/data science certifications.
Experience:4-6 yearsMachine learningStatistical modelingA/B testingRecommendation systemsPersonalizationCloud deployment
Education:Bachelor's in Computer Science, Statistics, Mathematics, Data Science
Skills:CollaborationData-driven decision-makingProblem-solving
Certifications:Machine LearningData ScienceSAS Certified Statistical Business Analyst
Tech Stack:PythonPySparkRSASSPSSR StudioTensorFlowPyTorchScikit-learnCNTKKerasMXNetDecision treesSupport Vector Machines (SVM)Hamming distanceEuclidean distanceManhattan distanceProbabilistic graph modelsRegression methods (linear and logistic)Forecasting methods (exponential smoothing, ARIMA, ARIMAX)

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