Data Scientist - R01570831

Brillio; Bengaluru; On-site; INR 1,500,000 - 3,200,000; Full time

Job summary

Brillio in Bengaluru is seeking a Senior Data Scientist to lead advanced data science initiatives, including developing Next Best Offer models and ML solutions to drive engagement.

You will apply statistics, build and validate models with Python, PySpark and R; leverage probabilistic models and boosting methods, and collaborate with cross-functional teams to translate business requirements into impactful data-driven decisions.

Qualifications

• 4–6 years of experience in advanced data science roles, including hands-on ML and statistical modeling projects.

Responsibilities

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

Skills

Python

PySpark

SAS

SPSS

R

Probabilistic graph models

Regression methods

Forecasting methods

TensorFlow

PyTorch

Scikit-learn

CNTK

MXNet

Decision trees

Distance metrics

Education

Certification in Machine Learning/Data Science from Coursera, edX, or DataCamp

SAS Certified Statistical Business Analyst

Tools

Great Expectations

Evidently AI

Job description

Experience 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
• MXNet
• Decision trees
• Distance metrics (Hamming, Euclidean, Manhattan)

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

• 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