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Velotio Technologies

Senior Engineer (Data Scientist)

Reposted 8 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Pune, Mahārāshtra
Senior level
In-Office or Remote
Hiring Remotely in Pune, Mahārāshtra
Senior level
Oversee the creation of data pipelines, conduct data analysis, deploy machine learning models, and create dashboards along with stakeholder reporting.
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Description

Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified  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.

Requirements

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.
  • 3+ 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.
Benefits
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.

At Velotio, we embrace diversity. Inclusion is a priority for us, and we are eager to foster an environment where everyone feels valued. We welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.

Top Skills

Amazon Quicksight
Amazon Sagemaker
Athena
Aws Glue
Aws Lambda
Emr
Pandas
Power BI
Python
Redshift
S3
Scikit-Learn
SQL
Step Functions
Tableau
Xgboost

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