Senior Engineer (Data Scientist)

3 - 8 years

11 - 15 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities:

  • Build scalable and reliable data pipelines using AWS Glue, AWS Lambda, Step Functions, and S3 to process large volumes of customer and campaign data.
  • Conduct exploratory data analysis using Athena, Redshift, or EMR to generate customer insights and identify behavioral patterns.
  • Design segmentation logic using clustering algorithms or rule-based techniques. Enable campaign personalization through profile enrichment and segment targeting.
  • Develop and deploy ML models using Amazon SageMaker to predict customer propensity for specific offers, churn likelihood, and campaign responsiveness.
  • Create stakeholder dashboards and automated reporting using Amazon QuickSight or integrate with BI tools like Tableau/Power BI if needed.
  • Measure and analyze campaign impact using A/B testing frameworks and advanced attribution models. Recommend optimization levers based on data.

Required Skills Qualifications:

  • Strong proficiency in SQL and Python, including libraries like Pandas, Scikit-learn, and XGBoost.
  • 5+ years of work experience.
  • Bachelor s or Master s degree in Computer Science, Statistics, Data Science, or related fields.
  • Experience with AWS data stack: S3, Glue, Lambda, Step Functions, Athena, Redshift, and SageMaker.
  • Experience deploying and maintaining ML models in production environments on AWS.
  • Ability to automate data pipelines and workflows using AWS native services or orchestration frameworks like Airflow.
  • Proficient in data visualization using Amazon QuickSight or other dashboarding tools.
  • Strong business communication skills to present insights and recommendations to stakeholders.
  • Experience in the telecom industry or handling large-scale customer data is a strong plus.

Our Culture

:
  • We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly.
  • Flat hierarchy with fast decision making and a startup-oriented get things done culture.
  • A strong, fun positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse authentic environment.

 

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