Data Scientist

Company: Greenlight Planet
Location: New Delhi, Delhi
Type: remote
Posted: Aug 19, 2026
Views: 3

✨ AI Summary

Greenlight Planet, a high-social-impact company in the fintech/PAYG and emerging markets space, is hiring a remote Data Scientist based in New Delhi. The role focuses on classical ML, probabilistic/Bayesian modeling, and production-ready delivery. Tech stack includes Python (pandas, NumPy, SciPy, MLflow), scikit-learn, XGBoost, LightGBM, CatBoost, PyMC/PyMC-Marketing, SQL, and cloud warehouses (AWS Redshift, BigQuery, Snowflake). Requires 3-4 years of hands-on data science experience, strong statistical and ML skills, and offers professional growth, a multicultural team, and learning programs.

Job location: Remote


About the role:

We are looking for a skilled Data Scientist who can translate complex datasets into actionable business insights through rigorous statistical analysis and machine learning. The ideal candidate combines strong foundational knowledge of classical ML with a solid grasp of probabilistic and Bayesian modeling, and can operate effectively across the full spectrum from data exploration to production-ready model delivery.




KEY RESPONSIBILITIES

  • Design, build, and evaluate classical machine learning models for business-critical use cases (classification, regression, ranking, anomaly detection, time-series forecasting).

  • Apply probabilistic and Bayesian modeling techniques to quantify uncertainty and inform decision-making under uncertainty; leverage tools like PyMC and PyMC-Marketing for Bayesian workflows.

  • Perform rigorous EDA, feature engineering, and data wrangling on large structured and semi-structured datasets using Python and SQL.

  • Collaborate with data engineers and analytics engineers to source, clean, and validate data pipelines feeding ML workflows.

  • Develop, track, and communicate model performance metrics; identify degradation signals and recommend retraining or improvement strategies.

  • Translate business questions into well-framed statistical problems and present findings clearly to technical and non-technical stakeholders.

  • Maintain clean, reproducible, and well-documented code and notebooks following team engineering standards.


REQUIRED SKILLS & QUALIFICATIONS

  • 3–4 years of hands-on experience in a data science or applied ML role.

  • Strong command of classical ML algorithms - gradient boosting, random forests, SVMs, logistic regression, clustering, dimensionality reduction, etc.

  • scikit-learn, XGBoost, LightGBM, CatBoost.Proficiency with ML frameworks:

  • PyMC or PyMC-Marketing.Solid understanding of probabilistic modeling, Bayesian inference, and uncertainty quantification; working experience with

  • Python (pandas, NumPy, SciPy, matplotlib/seaborn/plotly, MLflow).High proficiency in

  • SQL skills - complex multi-table queries, window functions, performance optimization.Strong

  • Deep familiarity with model evaluation frameworks: cross-validation, calibration, AUC, RMSE, MAPE, lift/gain curves, and business-aligned metrics.

  • Experience with experiment design, A/B testing, and statistical hypothesis testing.

  • Comfortable working with cloud data warehouses (AWS Redshift, BigQuery, Snowflake) and standard ML experiment tracking tools (MLflow, W&B).


NICE TO HAVE

  • Exposure to survival modeling, causal inference, or marketing mix modeling (MMM).

  • Experience with time-series forecasting libraries (Prophet, statsmodels, sktime).

  • Prior work in fintech, PAYG, or emerging markets contexts.

  • Familiarity with MLOps pipelines and model deployment on AWS (SageMaker, Lambda, ECS).


EDUCATION

  • B.Tech / B.E. / B.Sc. / M.Tech / M.Sc. in Computer Science, Statistics, Mathematics, Engineering, or a closely related quantitative discipline.

  • Professional growth in a dynamic, rapidly expanding, high-social-impact industry
  • An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet.
  • A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
  • Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.
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About the Company

Name: Greenlight Planet
Website: https://sunking.com

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