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Senior Engineer (Data Scientist) at Velotio Technologies. Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified . Great Place to Work®.  and recognized as one of the best companies to work for in India. We have provided full-stack product development for 110+ startups across the globe building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space. Our team of 400+ elite software engineers solves hard technical problems while transforming customer ideas into successful products.. 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.. . Company Location: India.