Qualifications Required:
- 10+ 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-sourcedata sets
- Proficiency in Python or R for analysis, modeling, and automation
- Experience with ML/statistical libraries (scikit-learn, statsmodels, pandas, NumPy, orsimilar)
- 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
- trong 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 disparatesources into a unified view
What You'll Do:
- 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
Pay: ₹1,500,000.00 - ₹3,000,000.00 per year
Benefits:
- Flexible schedule
- Provident Fund
Work Location: Hybrid remote in Chandigarh, Chandigarh (Chandigarh)
