Senior Data Scientist - R01570348

Brillio; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Brillio in Hyderabad, India seeks an experienced Senior Data Scientist to translate business challenges into data science initiatives and deliver measurable outcomes. The role emphasizes model development, validation, and stakeholder storytelling with strong analytics and visualization skills.

You will work with cross-functional teams, applying design thinking to optimize data workflows and deploy scalable AI solutions, leveraging cloud platforms and MLOps practices.

Qualifications

• 5-8 years of experience, with at least 5 years hands-on data science work.
• Experience with agentic AI exposure is preferred.
• Translate business problems into structured data science problems.
• Proficiency in Python or R for wrangling and analysis.
• Hands-on ML models and evaluation metrics experience.
• Strong data wrangling and feature engineering skills.

Responsibilities

• Translate complex business challenges into structured data science problems with measurable outcomes.
• Develop, monitor, and validate OKRs using advanced statistical techniques to deliver insights.
• Cleanse and transform large datasets for robust modeling.
• Deliver data-driven insights through clear storytelling and visualizations.
• Apply design thinking to create innovative analytical solutions and optimize workflows.
• Lead modeling decisions, balancing performance and efficiency.
• Collaborate with engineering and product to deploy scalable data solutions.
• Promote data literacy and data-driven decision-making across the organization.

Skills

Python

R

Statistical modelling

Data visualization

Machine learning

Feature engineering

Big data (Spark/Hadoop)

Cloud platforms (AWS/Azure/GCP)

MLOps

Data wrangling

Education

Bachelor's degree in CS/Statistics/Data Science

Data Science certification

Tools

Tableau

Power BI

Matplotlib

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