Senior Data Science - R01560392

Brillio; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

A leading data solutions company in Bengaluru seeks a Senior Data Science Lead to translate complex business problems into data-driven narratives. The ideal candidate will possess strong proficiency in Advanced SQL and hands-on experience with machine learning and statistical techniques. They will communicate insights to stakeholders and develop impactful analytical models. This role requires excellent communication skills and a proactive mindset to drive analytics initiatives.

Qualifications

• Strong proficiency in Advanced SQL with experience in large datasets.
• Expertise in data analytics with an understanding of statistical methods.
• Hands-on experience with analytical tools such as Python or R is a plus.
• Excellent communication and presentation skills.
• Experience with large-scale datasets and business intelligence tools.
• Familiarity with cloud platforms (AWS, Azure, or GCP) for data processing and analytics.

Responsibilities

• Translate complex business problems into data-driven narratives.
• Communicate model-backed insights influencing strategic decisions.
• Apply advanced statistical techniques for forecasting outcomes.
• Develop and iterate on machine learning and AI models.
• Develop, evaluate, and iterate analytical, ML and AI models to uncover patterns and optimize churn, revenue, network efficiency and operations.
• Build scalable data pipelines, feature stores and analytics workflows with BigQuery, SQL and Python; ensure performance and reproducibility.
• Ensure data quality, governance and monitoring across diverse sources; maintain trust in analytical outcomes.
• Collaborate with data engineering, SRE, platform and business teams to operationalize AI-driven insights and drive impact.
• Lead continuous improvement via feedback loops and KPI monitoring aligned to enterprise goals.
• Mentor junior analysts and promote knowledge sharing across teams.
• Communicate insights in business-friendly language for faster decision making.

Skills

Advanced SQL

Data Analytics

Predictive Modeling

Machine Learning Techniques

Python

R

Cloud Platforms (AWS, Azure, GCP)

Data Visualization

Tools

BigQuery

BI dashboards

Job description

Senior Data Science Lead

Primary Skills

• Data Scientist

Responsibilities

• Translate complex business problems into structured, data- and model-driven narratives. Partner with stakeholders to frame ambiguous problem statements, perform deep exploratory Data Analysis (EDA), Visualizations, Hypothesis A/B Testing/ What-if analysis and scenario modeling, algorithm development to identify inefficient sectors (DL/UL) by flagging outliers using performance KPIs.
• Communicate statistically sound, model-backed insights that directly influence strategic and operational decisions.
• Apply advanced statistical techniques, classical ML, and modern AI approaches to forecast outcomes and recommend next-best actions.
• Experience in driving initiatives through a rigorous lifecycle—problem formulation → hypothesis generation → EDA → feature engineering → modeling → evaluation → visualization → measurable business impact—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 complex problems such as churn prediction, revenue optimization, network efficiency, and operational optimization.
• Demonstrate strong hands-on expertise in BigQuery, SQL, and Python to build scalable data pipelines, feature stores, and analytical workflows, ensuring performance, reproducibility, and accuracy on large-scale datasets.
• Ensure consistency and reliability across diverse data sources through strong data validation, monitoring, and governance practices. Maintain trust in analytical and AI-driven outcomes through robust data quality checks, model validation, and ongoing performance monitoring.
• Collaborate with cross-functional teams (data engineering, SRE, platform, and business teams) to operationalize AI-driven insights, ensure reliability, and deliver measurable business impact.
• Drive continuous improvement initiatives by integrating feedback loops, monitoring KPIs on data reliability aligned to enterprise goals.
• Mentorship & Collaboration – Guide junior analysts, promote knowledge sharing, and foster a culture of analytical excellence across teams.
• Analytical Mindset & Self-Starter – Proactive in identifying opportunities, framing problems, and communicating insights in a business-first language, bridging the gap between data science and strategy.
• Data Visualization & Dashboards – Transform raw numbers into intuitive dashboards and visual stories that resonate with both technical and non-technical audiences, enabling faster decisions.

Qualifications

• Strong proficiency in Advanced SQL with experience in writing optimized queries for large datasets.
• Expertise in data analytics with a 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 is a plus.
• Experience working with large-scale datasets and business intelligence tools.
• Strong problem-solving abilities with the capability 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.

Specialization

• Data Science Advanced: Data Science Lead

Job requirements

• Data Science Advanced: Data Science Lead