Senior Data Scientist, Applied ML - Remote Personalization

NerdWallet, Inc

United States

A distancia

USD 140.000 - 210.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Industry-leading health plans
Flexible vacation policy
Paid parental leave
401K with company match
Remote-friendly work culture

Descripción de la vacante

NerdWallet, Inc is seeking a Senior Data Scientist (Applied ML) to shape and advance its machine learning capabilities across personalization, predictive modeling, and performance marketing. This hands-on role leads production-grade ML solutions and collaborates with Data Engineering, Product, Marketing, and Analytics from day one.

The ideal candidate has 5+ years in Data Science, deep Databricks experience with MLflow, and strong Python/SQL skills, plus a clear track record of business impact

Formación

  • 5+ years of professional experience in Data Science, Applied Machine Learning, or a related field.
  • Hands-on Databricks experience with MLflow and the Databricks ML ecosystem.
  • Proficiency in Python and SQL with modern ML frameworks (scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow).
  • Strong understanding of supervised learning, predictive modeling, classification, regression, ranking, and evaluation.
  • Experience designing scalable batch and/or real-time inference systems with latency considerations.
  • Solid software engineering fundamentals (version control, testing, modular code, CI/CD for ML).
  • Ability to lead complex technical initiatives from problem definition to deployment and measurement.
  • Ability to connect technical solutions to business outcomes like revenue and marketing efficiency.
  • Excellent communication and collaboration with senior stakeholders.

Responsabilidades

  • Lead end-to-end development of predictive ML models (LTV, propensity, lead quality, revenue optimization).
  • Translate model outputs into actionable signals to improve marketing and customer acquisition.
  • Develop recommendation/ranking models for personalized product suggestions.
  • Collaborate with Product/Marketing to integrate predictive signals into experiences.
  • Establish standards for ML practices using Databricks, MLflow, monitoring, and reproducibility.
  • Mentor practitioners and raise engineering/modeling standards across the org.

Conocimientos

Python
SQL
Machine Learning
Production ML
Experiment tracking
Model evaluation
CI/CD for ML
Communicating with stakeholders
Problem framing

Educación

Bachelor's or advanced degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline

Herramientas

Databricks
MLflow

Descripción del empleo

NerdWallet, Inc is seeking a Senior Data Scientist (Applied ML) to shape and advance its machine learning capabilities across personalization, predictive modeling, and performance marketing. This hands-on role leads production-grade ML solutions and collaborates with Data Engineering, Product, Marketing, and Analytics from day one.

The ideal candidate has 5+ years in Data Science, deep Databricks experience with MLflow, and strong Python/SQL skills, plus a clear track record of business impact

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