Feeny
Brillio

Data Science Lead - R01570348 at Brillio (Bengaluru, India)

Brillio· Bengaluru, India·

Role details

Work type
Hybrid
Level
Lead

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

Why work at Brillio

  • Culture: Rated 4.0/5.0 on Glassdoor (2,264 reviews) and 4.0/5.0 on LinkedIn; 80% would recommend to a friend; Great Place to Work® certified in the USA.
  • Work environment: Engineers get meaningful ownership within clear guardrails – autonomy to make architecture and trade-off calls on their workstreams.
  • Learning & growth: Brillio Academy, hackathons, personalized career development framework; exposure to cutting-edge GenAI and agentic AI projects.
  • Remote / hybrid / office: Not explicitly stated, but global delivery locations suggest a mix of on-site and remote (roles posted across multiple countries).
  • Benefits: “BYou” wellness program built on four pillars of wellness – personal and professional well-being and development.
  • Interview process: Focus on software fundamentals, LLMs, RAG, agents, evaluation, and a design or debugging exercise; candidates should be ready to walk through a real system they shipped.

Application questions