This position is posted by Jobgether on behalf of Velotio Technologies. We are currently looking for a Senior Engineer (Data Scientist) in India.
This role offers the opportunity to work on high-impact data engineering and machine learning projects within a dynamic, product-focused environment. The Senior Data Scientist will design and deploy scalable data pipelines, develop predictive models, and extract actionable insights from large volumes of customer and campaign data. You will collaborate closely with cross-functional teams, influence product decisions, and contribute to data-driven strategies that improve customer engagement and business outcomes. This position demands technical excellence, business acumen, and the ability to translate complex analyses into clear, actionable recommendations. The ideal candidate thrives in a fast-paced setting, enjoys solving challenging problems, and has experience deploying production-grade ML solutions on cloud platforms.
Accountabilities
- Build and maintain scalable, reliable data pipelines using AWS Glue, Lambda, Step Functions, and S3 to process large datasets
- Conduct exploratory data analysis using Athena, Redshift, or EMR to uncover customer insights and behavioral patterns
- Design segmentation logic using clustering algorithms or rule-based approaches to enable targeted campaign personalization
- Develop and deploy machine learning models on Amazon SageMaker for predicting customer behavior, churn, and campaign responsiveness
- Create dashboards and automated reports with Amazon QuickSight or integrate with BI tools such as Tableau or Power BI
- Measure and analyze campaign performance using A/B testing frameworks and advanced attribution models, recommending optimization strategies
- Collaborate with stakeholders to translate data insights into actionable business recommendations
Requirements
- 5+ years of experience in data science, analytics, or related roles
- Strong proficiency in SQL and Python, including libraries such as Pandas, Scikit-learn, and XGBoost
- Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or related field
- Hands-on experience with AWS data stack: S3, Glue, Lambda, Step Functions, Athena, Redshift, and SageMaker
- Experience deploying and maintaining machine learning models in production environments
- Skilled in automating data pipelines and workflows using AWS services or orchestration frameworks like Airflow
- Proficiency in data visualization tools such as Amazon QuickSight, Tableau, or Power BI
- Strong communication skills to effectively present insights and recommendations to stakeholders
- Experience handling large-scale customer data or working in the telecom industry is a plus
Benefits
- Competitive salary and opportunities for rapid career growth
- Autonomous and empowered work culture with ownership of projects
- Flat hierarchy with fast decision-making in a startup-oriented environment
- Inclusive, diverse, and supportive team culture with regular celebrations
- Flexible work environment promoting personal and professional development
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!
