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Senior Data Scientist

Current

$170,000 - $220,000
Oct 28, 2025
New York, NY, United States of America
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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.