onsite
Pricing Data Scientist
Pricing Data Scientist
The Pricing Data Scientist will focus on developing and deploying advanced pricing algorithms using a range of statistical and machine learning techniques. This role involves extensive work with probabilistic and behavioral modeling, causal inference, and modern ML algorithms like XGBoost and DNNs. Key responsibilities also include managing the model lifecycle, ensuring reproducibility, monitoring drift, and utilizing strong data engineering skills with tools like Python, SQL, Snowflake, and AWS Sagemaker.
About the role
Pricing Data Scientist
- Core Statistical & Pricing Skills
- Probabilistic & Behavioral Modeling
- Causal inference and AB testing
- Pricing/elasticity measurement
- Modern ML algorithms
- Supervised and Unsupervised Learning
- Linear Regression, GLM, XGBoost, and Random Forecast
- DNNs, multi-task models, transformers
- Experience in developing and deploying pricing algorithms with strategic agent behavior
- Model Lifecycle
- Model versioning and reproducibility
- Monitoring drift (data + prediction drift)
- Data Engineering, Platform & MLOps Fluency
- Data Handling: feature engineering, anomaly detection, and data quality validation
- CI/CD Pipelines
- Platforms & Tools:
- Python (pandas, numpy, scikit‑learn, statsmodels)
- SQL (advanced analytical queries)
- Snowflake / Snowpark execution patterns
- AWS Sagemaker
Skills
PricingProbabilistic & Behavioral ModelingCausal InferenceAB testingPricing/elasticity measurementSupervised LearningUnsupervised LearningLinear RegressionGLMXgboostRandom ForecastDNNsmulti task modelsTransformersData EngineeringMlopsFeature EngineeringAnomaly Detectiondata quality validationCI/CD pipelinesPython