Senior Data Scientist - R01570348

Brillio 2; Hyderabad; On-site; INR 1,200,000 - 1,900,000; Full time

Job summary

Brillio is seeking a Senior Data Scientist in Hyderabad with 5–8 years of experience in data science, analytics, and hands-on work on modern AI solutions. The role focuses on translating business problems into data-driven approaches and delivering measurable outcomes.

You will build and validate models, wrangle large datasets, create actionable visuals with Tableau/Power BI/Matplotlib, and collaborate with product and engineering teams to deploy scalable solutions.

Qualifications

• Proficient in Python or R for data wrangling, preprocessing, and statistics.
• Expertise in statistical modeling and validating performance metrics.
• Experience with visualization tools Tableau/Power BI/Matplotlib.
• Hands-on ML algorithms and evaluation metrics.
• Strong feature engineering and data mining.
• Familiarity with Spark or Hadoop.
• Experience with cloud platforms AWS/Azure/Google Cloud.
• Knowledge of MLOps and deployment pipelines.

Responsibilities

• Translate business challenges into structured data science problems aligned with objectives and outcomes.
• Develop, monitor, and validate OKRs using statistics to deliver insights and track progress.
• Wrangle and transform large datasets for robust modeling and analysis.
• Deliver data-driven insights with storytelling and visuals to stakeholders.
• Apply design thinking to create innovative analytics and optimize workflows.
• Lead modeling decisions, optimize performance, balance efficiency with business needs.
• Collaborate with engineering/product to implement scalable data science solutions.
• Promote data literacy and data-driven culture across the organization.

Skills

Python

R

Statistical modeling

Data visualization

Machine learning

Feature engineering

Big data

Cloud platforms

MLOps

Education

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

Certification in Data Science or Machine Learning

Tools

Tableau

Power BI

Matplotlib

Spark

Hadoop

AWS

Azure

Google Cloud

MLflow

Job description

Senior Data Scientist

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