# Data Scientist - R01570348 at Brillio

Data Scientist - R01570348 at Brillio in Bangalore, Karnataka, India. Hybrid. Posted September 7, 2026.

- Company: Brillio
- Location: Bangalore, Karnataka, India
- Workplace: Hybrid
- Experience: 5+ years
- Posted: 2026-09-07
- Apply: https://jobs.lever.co/brillio-2/5685d0b6-0b57-4c73-9ea7-fee9944f8581/apply
- Source: https://jobmagic.ai/jobs/data-scientist-r01570348-brillio-6y5rgh

## Requirements

- Translate complex business challenges into structured data science problems, ensuring alignment with organizational objectives and measurable outcomes
- Develop, monitor, and validate OKRs using advanced statistical techniques to deliver actionable insights and track progress
- Execute advanced data wrangling, cleansing, and transformation on large, complex datasets to enable robust modeling and analysis
- Deliver impactful data-driven insights through clear data storytelling, utilizing visualization tools to communicate findings effectively to stakeholders
- Apply design thinking methodologies to create innovative analytical solutions and continuously optimize data science workflows and processes
- Lead technical decision-making for modeling iterations, optimizing model performance, and balancing computational efficiency with business requirements
- Collaborate with cross-functional teams, including engineering and product, to implement scalable data science solutions that drive business value
- Promote data literacy and foster a culture of data-driven decision-making by sharing best practices and industry trends across the organization
- Advanced proficiency in Python or R for data wrangling, preprocessing, and statistical analysis
- Expertise in statistical modeling and validation of performance metrics
- Experience with data visualization tools such as Tableau, Power BI, or Matplotlib
- Hands-on experience with machine learning algorithms and evaluation metrics
- Strong background in feature engineering and data mining
- Familiarity with big data technologies such as Spark or Hadoop
- Experience with cloud-based data platforms including AWS, Azure, or Google Cloud

## Description

**Senior Data Scientist**

### Job requirements

**Experience Range:** 5 - 8 years of experience, including at least 5 years of hands-on work in data science, analytics, or related fields, with recent exposure to agentic AI solutions **Key Responsibilities:**

- Translate complex business challenges into structured data science problems, ensuring alignment with organizational objectives and measurable outcomes

- Develop, monitor, and validate OKRs using advanced statistical techniques to deliver actionable insights and track progress

- Execute advanced data wrangling, cleansing, and transformation on large, complex datasets to enable robust modeling and analysis

- Deliver impactful data-driven insights through clear data storytelling, utilizing visualization tools to communicate findings effectively to stakeholders

- Apply design thinking methodologies to create innovative analytical solutions and continuously optimize data science workflows and processes

- Lead technical decision-making for modeling iterations, optimizing model performance, and balancing computational efficiency with business requirements

- Collaborate with cross-functional teams, including engineering and product, to implement scalable data science solutions that drive business value

- Promote data literacy and foster a culture of data-driven decision-making by sharing best practices and industry trends across the organization

**Required Skills:**

- Advanced proficiency in Python or R for data wrangling, preprocessing, and statistical analysis

- Expertise in statistical modeling and validation of performance metrics

- Experience with data visualization tools such as Tableau, Power BI, or Matplotlib

- Hands-on experience with machine learning algorithms and evaluation metrics

- Strong background in feature engineering and data mining

- Familiarity with big data technologies such as Spark or Hadoop

- Experience with cloud-based data platforms including AWS, Azure, or Google Cloud

- Knowledge of MLOps practices and deployment pipelines

**Preferred Skills:**

- Experience with deep learning frameworks such as TensorFlow or PyTorch

- Exposure to agentic AI and rapid domain adaptation

- Experience with automation tools and scripting for data 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 institution, such as Microsoft Certified: Azure Data Scientist Associate or IBM Data Science Professional Certificate

- Relevant coursework or certification in statistical analysis or business analytics