bebo Technologies is a leading complete software solution provider. bebo stands for 'be extension be offshore'. We are a business partner of QASource, inc. USA[www.QASource.com]. We offer outstanding services in the areas of software development, sustenance engineering, quality assurance and product support. bebo is dedicated to provide high-caliber offshore software services and solutions.
Our goal is to 'Deliver in time-every time'.
For more details visit our website: www.bebotechnologies.com
Let's have a 360 tour of our bebo premises by clicking on below link:
https://www.youtube.com/watch?v=S1Bgm07dPmMKey

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:

- 6+ 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 oroperational 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

📌 Sr. Software Engineer Data Scientist (Chandigarh)
🏢 Bebo Technologies
📍 Chandigarh