Data Science Engineer - Remote Opportunity with Relocation Support

About the Role

We are hiring a Data Science Engineer to join our dynamic team at Eldridge Morgan. This Data Science Engineer remote position offers a unique opportunity to work on customer churn forecasting and attrition modeling for a major US telecom engagement. You will be at the intersection of data science and engineering, owning models from problem framing to production.

What You'll Do

• Build and maintain churn and attrition models using survival analysis, classification, and probabilistic approaches.
• Implement and work with state space models such as Linear Gaussian SSMs, HMMs, and Kalman filters to track latent customer behavior over time.
• Engineer features from raw telecom data, including usage patterns, billing signals, and interaction histories.
• Design offline evaluation frameworks with correct temporal splits, calibration checks, and business-aligned metrics.
• Write production-ready Python code that is readable, documented, version-controlled, and reviewable.
• Deploy models via APIs and monitor for data drift and performance degradation.
• Collaborate with engineers and business stakeholders to translate churn signals into actionable interventions.

Requirements

• 2–4 years of experience as a Data Scientist, ML Engineer, or Data Science Engineer.
• Strong proficiency in Python, including libraries such as pandas, scikit-learn, statsmodels, and PyTorch.
• Hands-on experience with churn, attrition, or customer lifecycle modeling.
• Working knowledge of state space models or time series methods.
• Solid grasp of ML fundamentals, including loss functions, regularization, model evaluation, and calibration.
• Proficiency in SQL for working with large structured datasets.
• Experience with experiment tracking tools like MLflow or DVC.
• Ability to read, navigate, and modify real-world codebases.

Nice to Have

• Experience contributing to open source projects or writing about data science.
• Public work on GitHub or Kaggle related to churn, time series, or probabilistic modeling.

What We Offer

• Competitive compensation in line with industry standards, expect ₹6–9 LPA based on technical depth.
• Comprehensive relocation packages to help you settle in your new role.
• Full-time engagement with opportunities for professional growth.
• A collaborative work environment that values intellectual honesty and ownership.
• Support for your career advancement in data science.