---
title: "Data Scientist - R01571772"
company: "Brillio"
company_url: "https://www.remjobs.works/companies/brillio"
url: "https://www.remjobs.works/job/brillio-data-scientist-r01571772-5c29d754-fdd8-4c42-a95a-af6d715153cc"
apply_url: "https://jobs.lever.co/brillio-2/7a4957bd-c6b9-4f8b-8382-e1bf3e095a7a"
workplace: onsite
location: "Pune, Maharashtra, India"
employment_type: full-time
seniority: mid
role: data
region: india
date_posted: 2026-09-24T08:41:06.602Z
first_seen_by_remjobs: 2026-09-24T09:10:29.517Z
---

# Data Scientist - R01571772

**Brillio** · Pune, Maharashtra, India

Apply: https://jobs.lever.co/brillio-2/7a4957bd-c6b9-4f8b-8382-e1bf3e095a7a

## About the role

$2

##### Job requirements

**Experience Range:** With at least 4 years of experience in advanced data science, statistical analysis, and machine learning model development, including hands-on work with large datasets and production model deployment. **Key Responsibilities:**

- Design, develop, and deploy advanced statistical and machine learning models using Python, R, and specialized frameworks to address complex business challenges

- Conduct rigorous statistical analysis, including hypothesis testing, regression analysis, and probabilistic modeling, to extract actionable insights from large-scale data

- Implement and validate data quality checks using tools such as Great Expectations and Evidently AI to ensure data and model integrity

- Collaborate with cross-functional teams to define data-driven strategies, translate business requirements into analytical solutions, and present findings to stakeholders

- Develop, optimize, and maintain forecasting models using techniques such as exponential smoothing, ARIMA, and ARIMAX to support business planning

- Build, train, and evaluate classification and regression models using ML frameworks (TensorFlow, PyTorch, Sci-Kit Learn, Keras, MXNet, CNTK)

- Deploy and monitor models in production environments using scalable cloud-native tools such as KubeFlow and BentoML

- Document methodologies and contribute to continuous improvement of analytics best practices**Required Skills:**

- Advanced proficiency in Python and PySpark for data analysis and model development

- Expertise in statistical analysis and computing using SAS or SPSS

- Hands-on experience with regression techniques including linear and logistic regression

- Strong knowledge of hypothesis testing, including T-Test and Z-Test methodologies

- Proficient in building and interpreting probabilistic graphical models

- Experience with classification algorithms such as Decision Trees and Support Vector Machines (SVM)

- Skilled in forecasting techniques including exponential smoothing, ARIMA, and ARIMAX

- Familiarity with distance metrics such as Hamming, Euclidean, and Manhattan Distance

- Working knowledge of R and R Studio for statistical modeling

- Experience with data validation and monitoring tools such as Great Expectations and Evidently AI**Preferred Skills:**

- Experience deploying machine learning models using KubeFlow or BentoML

- Proficiency with deep learning frameworks such as TensorFlow, PyTorch, Keras, MXNet, or CNTK

- Background in cloud-based analytics platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform)

- Exposure to automated machine learning (AutoML) workflows**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 provider (e.g., Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional Certificate)

---

Source: Brillio's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/brillio-data-scientist-r01571772-5c29d754-fdd8-4c42-a95a-af6d715153cc