Data Scientist

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Sun King

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2009

⚡ Energy

🛍️ eCommerce

🌍 Social Impact

Energy • eCommerce • Social Impact

Sun King is a company that designs, distributes, installs, and finances solar energy solutions aimed at the 1. 8 billion people without reliable access to electricity. Their offerings include budget-friendly solar lanterns, home systems, and more powerful multi-kilowatt-scale solar systems, catering to diverse power and lighting needs across Africa and Asia. With a commitment to powering access to brighter lives, Sun King provides innovative solar products that meet the energy needs of communities, including pay-as-you-go financing options.

📋 Description

• 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.

🎯 Requirements

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

🏖️ Benefits

• - 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.