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 clear 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

- Solid 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