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Brillio

Data Scientist

Brillio

Data Scientist developing machine learning strategies and solutions for AI & Data Engineering team in a hybrid role.

Posted 5/18/2026full-timeBangalore • 🇮🇳 IndiaSeniorLeadWebsite

Tech Stack

Tools & technologies
AWSAzurePython

About the role

Key responsibilities & impact
  • Create Proof of concepts (POCs) / Minimum Viable Products (MVPs)
  • Influence machine learning strategy for Digital programs
  • Make solution recommendations that appropriately balance speed to market
  • Explore design options to assess efficiency and impact
  • Develop analytical / modelling solutions
  • Formulate model-based solutions combining ML algorithms
  • Design, adapt, and visualize solutions
  • Create algorithms to extract information from large data sets
  • Deploy algorithms to production
  • Compare results and recommend optimal techniques
  • Develop and embed automated processes
  • Work on multiple pillars of AI
  • Provide guidance and leadership to junior data scientists
  • Lead discussions at peer review

Requirements

What you’ll need
  • 7 years of work experience as a Data Scientist
  • Advanced skills with statistical/programming software (R, Python)
  • Good hands-on skills in feature engineering and hyperparameter optimization
  • Experience producing high-quality code, tests, documentation
  • Experience with Microsoft Azure or AWS data management tools
  • Understanding of descriptive and exploratory statistics
  • Proficiency in statistical concepts and ML algorithms
  • Good knowledge of Agile principles and process

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Professional development
  • Flexible work arrangements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningdata analysisfeature engineeringhyperparameter optimizationstatistical programmingalgorithm developmentmodel-based solutionsautomated processesdata visualizationstatistical concepts
Soft Skills
leadershipguidancecommunicationcollaborationproblem-solvinginfluencediscussion facilitationefficiency assessmentimpact analysisrecommendation formulation