Swiggy is hiring for Associate Data Scientist | Apply Now!






Swiggy – Associate Data Scientist


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Swiggy

Associate Data Scientist

Bangalore

Swiggy hiring poster vthetecheejobs

About the Company

We are an equal opportunity employer committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability status, or any other characteristic protected by law.

Job Description

We are seeking an enthusiastic Associate Data Scientist to become a key contributor to the operational stability of our data science infrastructure. In this role, you will function as the initial point of contact for addressing alerts and incidents occurring within the production environment. This on-call support position offers significant exposure to the intersection of Data Science, Engineering, and Operations, providing a valuable and multifaceted experience. This role provides a pathway for career advancement into positions such as Data Scientist or Machine Learning Engineer, achieved through continuous learning and contributions to model design, experimentation, and deployment processes.

Company NameSwiggy
RoleAssociate Data Scientist
LocationBangalore
Salary
Job Type




Responsibilities

  • Proactively monitor automated alerts originating from various domains within the data science ecosystem.
  • Execute predefined incident response procedures based on established runbooks.
  • Utilize available root cause analysis tools, observability platforms, logs, and dashboards to effectively debug and diagnose issues.
  • Discern between operational and model-related issues to ensure appropriate triage and resolution.
  • Escalate complex issues to the relevant model owner(s) when necessary, adhering to established protocols.
  • Maintain meticulous incident logs containing comprehensive root-cause summaries and detailed resolution notes.
  • Adhere to the structured Incident Response Plan (IRP) established for each domain, which encompasses the following elements:
  • Alerts: A comprehensive list of metrics and conditions that trigger an incident, including data pipeline delays, sharp drops in key performance indicators (KPIs), and API errors.
  • Response: A step-by-step guide outlining initial checks to be performed, including log analysis, dashboard reviews, and system health checks.
  • Tools to Debug: Domain-specific tools and resources available for debugging, such as Grafana, Databricks notebooks (DBR notebooks), and feature store dashboards.
  • Escalation Triggers: Clearly defined thresholds and criteria for escalating incidents to model owners, including data quality corruption and unexplained deviations in key metrics.

Qualifications

  • Monitoring & Debugging: Familiarity with observability tools such as Grafana, Prometheus, and cloud monitoring solutions.
  • Data Systems Knowledge: Practical experience with SQL, Python, and basic Spark for data manipulation and analysis.
  • Statistical Intuition: Demonstrated ability to differentiate between noise and genuine anomalies in key performance indicators (KPIs).
  • Problem-Solving: Robust troubleshooting skills and the ability to effectively resolve issues under pressure.
  • Communication: Excellent written and verbal communication skills for clear incident communication and seamless handoff to Data Science and Engineering teams.
  • Documentation Discipline: A strong commitment to updating incident logs, playbooks, and Incident Response Plans (IRPs) following post-mortem analyses.

Skills

Grafana
Prometheus
SQL
Python
Spark
Problem-solving
Communication
Debugging

ATS Keywords

Data Science
Machine Learning
SQL
Python
Spark
Grafana
Prometheus
Debugging
Incident Response
Monitoring
KPI
Root Cause Analysis
Troubleshooting
Data Analysis
Data Manipulation
Alert Monitoring

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Frequently Asked Questions

What career advancement opportunities are available in this role?

This role provides a pathway for career advancement into positions such as Data Scientist or Machine Learning Engineer, achieved through continuous learning and contributions to model design, experimentation, and deployment processes.

What does the on-call support entail?

You will function as the initial point of contact for addressing alerts and incidents occurring within the production environment. This on-call support position offers significant exposure to the intersection of Data Science, Engineering, and Operations.

What tools and technologies will I be using?

You will be using tools like Grafana, Prometheus, SQL, Python, Spark, and Databricks notebooks. Familiarity with observability platforms, logs, and dashboards is also important.

What is the Incident Response Plan (IRP) and how will I use it?

The IRP is a structured plan for each domain that includes alerts, response procedures, tools for debugging, and escalation triggers. You will adhere to this plan for incident resolution.

Other Information

Job ID: 23020 | Experience: 0-1 Year | Source: LinkedIn
Work Location: Bangalore (Work From Office)
Experience Level: Entry-Level (0-1 Years)

Tags

Data Scientist
Associate Data Scientist
Machine Learning Engineer
Incident Response
Data Analysis
SQL
Python
Bangalore




How to Apply

  1. Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
  2. Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
  3. Fill Out the Application: On the official website, fill out the application form with the provided information.
  4. Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
  5. Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.







From vthetechee.com on 2025-11-23 13:27:31





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