Software Architect_Data Scientist

bebo Technologies; Chandigarh; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

bebo Technologies in Chandigarh, India, is seeking a skilled data scientist/ML engineer to lead the design of metrics, dashboards, and predictive models for our digital ordering pipeline. You will collaborate with engineering teams to ensure robust data collection, build anomaly detection, and translate complex analyses into actionable insights for leadership.

The role requires 8+ years in analytics, strong statistics, Python or R proficiency, and hands-on experience with ML libraries, AWS

Qualifications

• 8+ years of experience in a data scientist, ML engineer, or advanced analytics role.
• Strong foundation in statistics — hypothesis testing, regression, time series analysis, Bayesian methods
• Proficiency in Python or R for analysis, modeling, and automation
• Experience with ML/statistical libraries (scikit-learn, statsmodels, pandas, NumPy, or similar)
• Experience with AWS data and ML services (SageMaker, Redshift, Athena, Glue,QuickSight, or similar)
• Hands-on experience with Tableau
• Demonstrated ability to define metrics frameworks and build dashboards from scratch, not just maintain existing ones
• Experience building anomaly detection or predictive models in a production or operational context

Responsibilities

• Define and build the metrics framework for the digital ordering pipeline — from order intake through result delivery
• Design and deliver dashboards that track order volume, throughput, turnaround times, error rates, and system stability across multiple integration points
• Build predictive models to forecast order failures, volume trends, and capacity needs
• Develop automated anomaly detection to surface pipeline issues before they accelerate
• Apply statistical methods for root cause analysis — diagnosing why systems fail, not just what failed
• Partner with engineering teams to instrument data collection where gaps exist
• Translate complex technical and statistical findings into clear narratives for executive leadership, engineering management, and individual engineering teams

Skills

Statistics

Python or R

ML libraries

AWS data & ML services

Tableau

Metrics & dashboards

Anomaly detection

Predictive modeling

Tools

scikit-learn

statsmodels

pandas

NumPy

SageMaker

Redshift

Athena

Glue

QuickSight

Tableau

Job description

• 8+ years of experience in a data scientist, ML engineer, or advanced analytics role
• Strong foundation in statistics — hypothesis testing, regression, time series analysis, Bayesian methods
• Proficiency in Python or R for analysis, modeling, and automation
• Experience with ML/statistical libraries (scikit-learn, statsmodels, pandas, NumPy, or similar)
• Experience with AWS data and ML services (SageMaker, Redshift, Athena, Glue,QuickSight, or similar)
• Hands-on experience with Tableau
• Demonstrated ability to define metrics frameworks and build dashboards from scratch, not just maintain existing ones
• Experience building anomaly detection or predictive models in a production or operational context

Key Responsibilities

• Define and build the metrics framework for the digital ordering pipeline — from order intake through result delivery
• Design and deliver dashboards that track order volume, throughput, turnaround times, error rates, and system stability across multiple integration points
• Build predictive models to forecast order failures, volume trends, and capacity needs
• Develop automated anomaly detection to surface pipeline issues before they accelerate
• Apply statistical methods for root cause analysis — diagnosing why systems fail, not just what failed
• Partner with engineering teams to instrument data collection where gaps exist
• Translate complex technical and statistical findings into clear narratives for executive leadership, engineering management, and individual engineering teams