Data Scientist - R01572016

Brillio 2; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Brillio 2 is seeking a Data Scientist with 4–6 years of hands-on data science experience. You will design statistical models, develop ML algorithms, and perform rigorous data analysis using Python, PySpark, R, SAS, and SPSS. You will deploy scalable models and validate data quality for business impact.

The role emphasizes time series forecasting, probabilistic graph modeling, and translating complex findings for stakeholders in a data-driven environment.

Qualifications

• 4+ years hands-on data science experience in statistical analysis, ML
• Proficient in Python, PySpark, and R for data manipulation and modeling
• Experience with SAS, SPSS, and R Studio for statistical analysis
• Hands-on with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet
• Experience with time series forecasting: exponential smoothing, ARIMA, ARIMAX
• Knowledge of model deployment workflow and data quality checks

Responsibilities

• Design and implement robust statistical models to deliver actionable business insights
• Develop and optimize ML algorithms for classification, prediction, and probabilistic graphs
• Conduct statistical analysis to support data-driven decisions using SAS, SPSS, and R Studio
• Build, train, and deploy scalable models with TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet
• Apply time series methods to analyze trends and forecast outcomes
• Contribute to production-ready deployment using MLOps tools and pipelines
• Validate data quality with Great Expectations and Evidently AI
• Present findings to stakeholders and translate insights into actionable recommendations

Skills

Hypothesis testing

Regression analysis

Python

PySpark

R

SAS

SPSS

Time series forecasting

ML frameworks

Classification

SVM

TensorFlow

PyTorch

Sci-Kit Learn

Time series models

R Studio

Great Expectations

Evidently AI

KubeFlow

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related

Certification in Data Science or ML (e.g., Azure ML, TensorFlow Developer)

Job description

Data Scientist

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