Senior Data Scientist - R01570350

Brillio; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Brillio is seeking a Senior Data Scientist in Bengaluru with 5-8 years of experience in data science, analytics, and related fields. You will translate business challenges into data-driven solutions, develop robust models, and lead data storytelling for stakeholders.

Responsibilities include developing OKRs, data wrangling, and collaborating with cross-functional teams to deploy scalable analytics explainability and insights across business units.

Qualifications

• 5-8 years of experience in data science, analytics or related fields, with recent exposure to agentic AI solutions.
• Translate business challenges into structured data science problems with measurable outcomes.
• Develop, monitor and validate OKRs using advanced statistical techniques.

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 data-driven insights through clear storytelling using visualization tools for stakeholders
• Apply design thinking to create innovative analytical solutions and optimize workflows
• Lead technical decisions for modeling iterations, balancing performance with business requirements
• Collaborate with cross-functional teams to implement scalable data science solutions
• Promote data literacy and a culture of data-driven decision-making across the organization

Skills

Python/R for DS

Statistical modeling

Data visualization

ML algorithms

Feature engineering

Big data (Spark/Hadoop)

Cloud platforms (AWS/Azure/GCP)

MLOps basics

Deep learning (optional)

Automation/scripting

Education

Bachelor's degree in CS/Stats/Data Science

DS/ML certification

Tools

Tableau

Power BI

Matplotlib

Spark

Hadoop

AWS

Azure

GCP

MLflow/MLOps

Job 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