Senior Data Science - R01560392

Brillio; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Brillio is seeking a Senior Data Science Lead in Bengaluru, Karnataka, to translate complex business problems into data-driven narratives, perform exploratory data analysis, and communicate insights that influence business decisions. The ideal candidate will have strong SQL and analytical skills, experience with Python or R, and the ability to mentor junior analysts. This role offers opportunities to drive initiatives, collaborate with cross-functional teams, and develop effective data solutions across diverse platforms.

Qualifications

• Strong proficiency in advanced SQL with experience in writing optimized queries for large datasets.
• Solid understanding of statistical methods and data interpretation.
• Exposure to data science concepts, including predictive modeling and machine learning techniques.
• Hands-on experience with Python, R, or similar analytical tools (preferred).
• Experience working with large-scale datasets and business intelligence tools.
• Strong problem-solving abilities and capacity to translate business problems into analytical solutions.
• Excellent communication and presentation skills to convey insights effectively to stakeholders.
• Familiarity with cloud platforms such as AWS, Azure, or GCP for data processing and analytics.

Responsibilities

• Translate complex business problems into structured, data- and model-driven narratives.
• Perform deep exploratory Data Analysis (EDA), visualizations, hypothesis testing, and scenario analysis.
• Communicate statistically sound, model-backed insights.
• Apply advanced statistical techniques, classical machine learning, and modern AI approaches.
• Drive initiatives through a rigorous lifecycle.
• Develop, evaluate, and iterate on analytical, machine learning, and hybrid AI models.
• Build scalable data pipelines, feature stores, and analytical workflows.
• Ensure consistency and reliability across diverse data sources.
• Collaborate with cross-functional teams to operationalize AI-driven insights.
• Drive continuous improvement initiatives by integrating feedback loops and monitoring KPIs.
• Mentor junior analysts and promote knowledge sharing.
• Transform raw numbers into intuitive dashboards and visual stories.

Skills

Advanced SQL

Statistical methods

Predictive modeling

Python

Data interpretation

Problem-solving

Communication

Cloud platforms (AWS, Azure, GCP)

Job description

Senior Data Science Lead

Responsibilities

• Translate complex business problems into structured, data- and model-driven narratives, partnering with stakeholders to frame ambiguous problem statements.
• Perform deep exploratory Data Analysis (EDA), visualizations, hypothesis testing and scenario analysis to identify inefficiencies and flag outliers using performance KPIs.
• Communicate statistically sound, model-backed insights that directly influence strategic and operational decisions.
• Apply advanced statistical techniques, classical machine learning, and modern AI approaches to forecast outcomes and recommend next‑best actions.
• Drive initiatives through a rigorous lifecycle—problem formulation, hypothesis generation, EDA, feature engineering, modeling, evaluation, visualization—ensuring scientific rigor, interpretability, and alignment with business objectives.
• Develop, evaluate, and iterate on analytical, machine learning, and hybrid AI models to uncover patterns, trends, and anomalies, solving problems such as churn prediction, revenue optimization, network efficiency, and operational optimization.
• Build scalable data pipelines, feature stores, and analytical workflows in BigQuery, SQL, and Python, ensuring performance and reproducibility on large‑scale datasets.
• Ensure consistency and reliability across diverse data sources through strong data validation, monitoring, and governance practices, maintaining trust in analytical and AI‑driven outcomes.
• Collaborate with cross‑functional teams (data engineering, SRE, platform, and business teams) to operationalize AI‑driven insights and deliver measurable business impact.
• Drive continuous improvement initiatives by integrating feedback loops and monitoring KPIs related to data reliability aligned with enterprise goals.
• Mentor junior analysts and promote knowledge sharing to foster a culture of analytical excellence.
• Employ an analytical mindset and act as a self‑starter, proactively identifying opportunities, framing problems, and communicating insights in a business‑first language.
• Transform raw numbers into intuitive dashboards and visual stories that resonate with both technical and non‑technical audiences.

Qualifications

• Strong proficiency in advanced SQL with experience in writing optimized queries for large datasets.
• Solid understanding of statistical methods and data interpretation.
• Exposure to data science concepts, including predictive modeling and machine learning techniques.
• Hands‑on experience with Python, R, or similar analytical tools (preferred).
• Experience working with large‑scale datasets and business intelligence tools.
• Strong problem‑solving abilities and capacity to translate business problems into analytical solutions.
• Excellent communication and presentation skills to convey insights effectively to stakeholders.
• Familiarity with cloud platforms such as AWS, Azure, or GCP for data processing and analytics.