Data Scientist – R01572015

Brillio; Pune District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Brillio in Pune seeks a senior data scientist with 4–6 years of hands-on experience in advanced data science. The role focuses on building robust statistical models, deploying ML solutions, and delivering data-driven business insights.

You will work with Python, PySpark, and R, and collaborate across teams to translate complex findings into actionable recommendations. The ideal candidate has strong expertise in time series forecasting, model evaluation, and production-grade deployment, with

Qualifications

• Bachelor's degree in CS/Statistics/Data Science or related field.
• 4–6 years hands-on experience in advanced data science, including statistical analysis and machine learning.
• Experience designing robust statistical models and deploying ML solutions.

Responsibilities

• Design and implement statistical models using hypothesis testing, regression, and forecasting techniques.
• Develop and optimize machine learning algorithms for classification and prediction with Python, PySpark, and R.
• Conduct statistical analysis with SAS, SPSS, and R Studio to support data-driven decisions.
• Build, train, and deploy scalable models using TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet.
• Apply time series forecasting methods (exponential smoothing, ARIMA, ARIMAX) to predict trends.
• Streamline model deployment and lifecycle management in production using MLOps tools.
• Implement data quality checks with Great Expectations and Evidently AI to ensure dataset integrity.
• Present findings to stakeholders with actionable business recommendations.

Skills

Hypothesis testing

Regression analysis

Python

PySpark

R

SAS

SPSS

Time series forecasting

ML algorithms

Model deployment

Education

Bachelor's degree in Computer Science / Statistics / Mathematics / Data Science

Tools

Python

PySpark

TensorFlow

PyTorch

Sci-Kit Learn

CNTK

Keras

MXNet

R Studio

SAS

SPSS

Great Expectations

Evidently AI

Job description

Experience Range:

With at least 4 years of hands-on experience in advanced data science, including statistical analysis and machine learning, and up to 6 years in similar roles

Key Responsibilities:

• Design and implement robust statistical models using advanced hypothesis testing, regression, and forecasting techniques to deliver actionable business insights
• Develop and optimize machine learning algorithms for classification, prediction, and probabilistic graph models utilizing Python, PySpark, and R
• Conduct comprehensive statistical analysis with SAS, SPSS, and R Studio to support data-driven decision-making
• Build, train, and deploy scalable models using ML frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet
• Apply advanced time series forecasting methods, including exponential smoothing, ARIMA, and ARIMAX, to analyze trends and predict outcomes
• Streamline model deployment and lifecycle management in production environments using KubeFlow and BentoML
• Implement and validate data quality checks with Great Expectations and Evidently AI to ensure dataset integrity
• Present complex data findings to stakeholders, translating insights into actionable recommendations that drive business outcomes

Required Skills:

• Advanced application of hypothesis testing methodologies, including T-Test and Z-Test
• Expert-level regression analysis (linear and logistic) for predictive modeling
• Proficient programming in Python and PySpark for data manipulation and model development
• Extensive experience with statistical analysis using SAS and SPSS
• Hands-on expertise in probabilistic graph models for complex data relationships
• Mastery of time series forecasting techniques (exponential smoothing, ARIMA, ARIMAX)
• Implementation of classification algorithms such as decision trees and support vector machines (SVM)
• Deep familiarity with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet
• Calculation and application of distance metrics (Hamming, Euclidean, Manhattan)
• Skilled in R and R Studio for statistical analysis and visualization

Preferred Skills:

• Practical experience with Great Expectations and Evidently AI for advanced data validation
• Proficiency in cloud-based model deployment tools such as KubeFlow and BentoML
• Background in large-scale data processing and distributed computing environments
• Expertise in feature engineering and model interpretability techniques
• Familiarity with cloud-based data science platforms such as AWS SageMaker, Azure ML, or Google Cloud AI Platform

Desired Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related discipline
• Certification in Data Science or Machine Learning from a recognized institution, such as Microsoft Certified: Azure Data Scientist Associate or TensorFlow Developer Certificate