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RemoteListed Jul 23, 2026

Data Scientist

Sun King

  • AI-Data-Scientist
  • Applied-ML
  • Data Science
  • Data-Science
  • Data-Science-Expert
  • Data-Science-Specialist
  • Data-Scientist
  • Data-Scientist---Analytics
  • ML-Data-Scientist
  • Machine-Learning
  • Research-Data-Scientist
  • Search-Data-Scientist
  • Statistical-Analysis

Assessed from original listing evidence

The role

Job description

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.

What you will be expected to do


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.

You might be a strong candidate if you have/are


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
  • [link removed] / B.E. / [link removed]. / [link removed] / [link removed]. in Computer Science, Statistics, Mathematics, Engineering, or a closely related quantitative discipline.

What Sun King offers

  • 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.

Originally posted on Himalayas

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