Senior Data Scientist - R01570348

Brillio; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

None

Job summary

Brillio in Bengaluru is seeking a Senior Data Scientist to translate business needs into data-driven solutions. The role focuses on advanced modeling, data wrangling, and storytelling with impactful visuals.

You will lead cross-functional initiatives, develop OKRs with statistical rigor, and drive scalable analytics across engineering and product teams, leveraging cloud platforms and MLOps.

Qualifications

• 5-8 years of experience in data science with hands-on work in analytics.
• Experience with agentic AI solutions is a plus and recent exposure is expected.
• Strong ability to translate business problems into data science problems with measurable outcomes.
• Proficient in statistical modeling, validation, and performance metrics.
• Experience with large-scale data wrangling, cleansing, and transformation.

Responsibilities

• Translate complex business challenges into structured data science problems.
• Develop, monitor, and validate OKRs using advanced statistical techniques.
• Perform advanced data wrangling and transformation on large datasets for robust modeling.
• Deliver insights through data storytelling and clear visualizations for stakeholders.
• Apply design thinking to create innovative analytics solutions and optimize workflows.
• Lead modeling iterations, balance performance with efficiency, and guide decisions.
• Collaborate with engineering and product to implement scalable solutions.
• Promote data literacy and share best practices across the organization.

Skills

Python

Statistics

ML Algorithms

Feature Engineering

Visualization

Spark

Hadoop

Cloud Platforms

MLOps

TensorFlow/PyTorch

Automation/Scripting

Agentic AI exposure

Education

Bachelor's degree in CS/Math/Stats/Data Science

Data Science/ML certification

Tools

Tableau

Power BI

Matplotlib

Spark

Hadoop

AWS/Azure/Google Cloud

MLOps tooling

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