Data Science Lead - R01570348

Brillio; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Brillio in Bengaluru, India is seeking a Senior Data Scientist to translate business challenges into data science solutions, build and validate models, and deliver insights that drive strategic decisions. You will lead data wrangling, feature engineering, and visualization efforts while collaborating with cross-functional teams.

The role requires 5–8 years of hands-on data science experience, strong Python/R skills, and familiarity with cloud platforms and MLOps.

Qualifications

• 5–8 years of experience in data science, analytics, or related fields, with recent exposure to agentic AI solutions.
• Translate complex business challenges into structured data science problems with measurable outcomes.
• Experience with OKR development and statistical validation.
• Experience with data wrangling, cleansing, and transformation on large datasets.
• Deliver data-driven insights via visualization for stakeholders.
• Familiarity with design thinking to create analytical solutions.
• Familiar with MLOps practices and deployment pipelines.

Responsibilities

• Translate business challenges into structured data science problems with measurable outcomes.
• Develop and monitor OKRs using statistical techniques to track progress.
• Prepare large datasets through data wrangling and transformation for modeling.
• Deliver data-driven insights via visualization for stakeholders.
• Collaborate with engineering and product to deploy scalable data science solutions.
• Promote data literacy and data-driven decision making across the organization.

Skills

Python

R

Statistical modeling

Data visualization

Machine learning

Feature engineering

Big data

Education

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

Data Science/Machine Learning certifications

Tools

Spark

Hadoop

Power BI

Tableau

AWS

Azure

Google Cloud

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