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Brillio

Data Scientist - R01570831

Brillio Bangalore, Karnataka, India

Artificial Intelligence · 5,001-10,000 employees

23 h ago
data-scientist Senior (5-10 yrs) Full-time India
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About the role

Develop and implement advanced data science solutions and Next Best Offer models to drive business objectives. Collaborate with cross-functional teams to translate business requirements into actionable insights using statistical techniques and machine learning.

What they look for

Python PySpark R SAS SPSS Machine learning Statistical modeling TensorFlow PyTorch Scikit-learn KubeFlow BentoML Decision trees Support vector machines Regression methods Forecasting methods

Requirements

Requires 4 to 6 years of experience in advanced data science roles with proficiency in Python, R, and statistical modeling. Candidates should hold a bachelor's degree in a quantitative discipline and possess expertise in machine learning pipelines and model optimization.

Full description

Data Scientist

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Job requirementsExperience Range: With 4 to 6 years of experience in advanced data science roles, including hands-on involvement in machine learning and statistical modeling projects Key Responsibilities:

  • Develop and implement Next Best Offer models and advanced data science solutions to drive business objectives and enhance customer engagement
  • Apply statistical techniques such as hypothesis testing, t-tests, z-tests, and regression methods to extract actionable insights and support data-driven decision-making
  • Build, validate, and optimize machine learning models using Python, PySpark, and R to ensure high accuracy and reliability
  • Leverage probabilistic graph models and classification algorithms, including decision trees and support vector machines, to address complex business challenges
  • Optimize and automate machine learning pipelines for scalable deployment using KubeFlow and BentoML, improving operational efficiency
  • Conduct comprehensive statistical analysis with SAS, SPSS, and R Studio to inform business strategies
  • Monitor model performance using evaluation metrics and recommend data-driven improvements to maintain model effectiveness
  • Collaborate with cross-functional teams to translate business requirements into impactful data science solutions

Required Skills:

  • Python
  • PySpark
  • SAS
  • SPSS
  • R
  • Probabilistic graph models
  • Regression methods (linear and logistic)
  • Forecasting methods (exponential smoothing, ARIMA, ARIMAX)
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • CNTK
  • Keras
  • MXNet
  • Decision trees
  • Support Vector Machines (SVM)
  • Distance metrics (Hamming, Euclidean, Manhattan)
  • KubeFlow
  • BentoML

Preferred Skills:

  • Experience with Great Expectations and Evidently AI for model validation and monitoring
  • Expertise in deploying machine learning models in cloud-based environments
  • Knowledge of advanced ensemble methods and boosting algorithms
  • Familiarity with A/B testing and experimental design
  • Background in recommendation systems and personalization algorithms

Desired Qualifications:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a quantitative discipline relevant to data science
  • Certification in Machine Learning or Data Science from a recognized institution such as Coursera, edX, or DataCamp
  • Relevant certification in statistical analysis or analytics, such as SAS Certified Statistical Business Analyst

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