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Brillio

Senior Data Scientist - R01570348

Brillio Bangalore, Karnataka, India

Artificial Intelligence · 5,001-10,000 employees

Yesterday
data-scientist Senior (5-10 yrs) Full-time India
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About the role

Translate complex business challenges into structured data science problems and develop actionable insights using advanced statistical techniques. Collaborate with cross-functional teams to implement scalable data science solutions and promote a culture of data-driven decision-making.

What they look for

Python R Statistical modeling Data wrangling Machine learning Feature engineering Data mining Spark Hadoop AWS Azure Google Cloud MLOps Tableau Power BI Agentic AI

Requirements

Requires 5-8 years of experience in data science or analytics with proficiency in Python or R and machine learning algorithms. Candidates should have a background in big data technologies, cloud platforms, and MLOps practices.

Full description

Senior Data Scientist

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Job requirementsExperience 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

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