Current is looking to leverage data science and machine learning to better understand their customers, improve user experience, and efficiently acquire and retain members.
Requirements
- Proficiency in Python for data analysis and ML, with experience using libraries such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
- Expertise in SQL and working with large, complex structured and semi-structured datasets.
- Strong understanding of core machine learning techniques, including logistic regression, gradient boosting, decision trees, and clustering methods.
- Experience in feature engineering, model selection, and performance optimization.
- Experienced in designing, executing, analyzing, and reporting on experiments.
- Familiarity with Google Cloud Platform (GCP) services, particularly Vertex AI and Dataflow, for scalable data processing and model training.
- Familiarity with BigQuery or other MPP (Massively Parallel Processing) databases.
Responsibilities
- Design, develop, and deploy predictive classification and regression models, along with anomaly detection models and algorithms.
- Conduct extensive EDA, feature engineering, and data preprocessing to ensure high-quality input for ML models.
- Evaluate and optimize model performance using statistical and ML techniques.
- Design and execute A/B tests to measure and validate model impact.
- Perform customer segmentation using various clustering techniques.
- Develop and implement model monitoring dashboards and establish model governance techniques.
- Collaborate with Analytics, Product, Engineering, and Marketing teams to seamlessly integrate predictive models into workflows.
Other
- 5+ years of experience in data science with a strong emphasis on machine learning modeling.
- Strong communication skills and ability to present findings to technical and non-technical stakeholders.
- Master’s or higher degree in Data Science, Computer Science, Statistics, or a related field is preferred.
- Experience working in fintech, e-commerce, or other data-rich consumer-facing industries.
- Experience with dbt for data modeling.