Job 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 escalate

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 transparent narratives for executive

Leadership, engineering management, and individual engineering teams

Investigate ad-hoc data questions — diagnosing production issues, quantifying impact of incidents, and supporting root cause analysis

Document metric definitions, model logic, data sources, and dashboard design so the organization can maintain and extend your work independently Job Requirements:

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

Advanced SQL — comfortable writing complex queries across large, multi-source datasets

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.

Strong communication skills — able to present statistical findings to executives, engineering leaders, and technical teams with equal clarity

Experience working across multiple teams or systems, synthesizing data from disparate sources into a unified view

📌 Associate Software Architecture_Datascientist (Chandigarh)
🏢 Bebo Technologies
📍 Chandigarh