GoodRx

Data Science Manager

GoodRx

full-time

Posted on:

Location: California, New York, Washington • 🇺🇸 United States

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Salary

💰 $151,000 - $323,000 per year

Job Level

SeniorLead

Tech Stack

Amazon RedshiftAndroidAWSBigQueryCloudiOSNumpyPandasPythonPyTorchScikit-LearnSparkTensorflow

About the role

  • Provide leadership, mentorship, and coaching to data scientists; foster an environment of innovation, inclusion, and technical rigor
  • Support performance management, onboarding, and professional growth of team members
  • Define and drive organization-wide ML and analytics roadmaps, balancing near-term impact with long-term innovation
  • Partner with product, engineering and marketing teams to translate business needs into robust technical solutions
  • Deliver data science products to improve customer engagement, retention, and personalization across products and marketplaces
  • Work with engineering teams to ensure scalable, reliable, and efficient deployment of data science solutions
  • Build and oversee predictive models and advanced ML/AI systems (e.g., forecasting, recommendation, CTR/CVR modeling, customer segmentation)
  • Develop state-of-the-art statistical and machine learning approaches, including pipelines that handle large-scale, high-dimensional datasets
  • Champion experimentation and rigorous evaluation methods to ensure models meet business and latency requirements
  • Explore new frontiers in GenAI, statistical genetics, and multimodal data (e.g., imaging, text, structured data) where relevant to GoodRx’s mission
  • Identify and pursue high-risk/high-reward technical directions, driving new research initiatives from concept to implementation
  • Contribute to the broader data science community through knowledge-sharing, internal talks, or publications

Requirements

  • 7+ years of experience in data science with significant applied business impact; 2+ years managing or mentoring data scientists
  • Strong technical foundation in statistical modeling, ML algorithms (tree/forest methods, clustering, optimization, regression, neural networks), and experimentation
  • Hands-on experience with Python (pandas, numpy, scikit-learn, PyTorch/TensorFlow) and cloud-based big data ecosystems (AWS, Databricks, Redshift/BigQuery, Spark)
  • Proven track record in delivering end-to-end data science models & systems (from development to production) at scale
  • Experience with deep learning for personalization, search, recommendation, Look-alikes, optimal pricing or multimodal (text, image, structured) data
  • Excellent communication and stakeholder management skills
  • Comfort with ambiguity and adaptability in a dynamic, high-change environment
  • Bonus: Advanced degree (Master’s or PhD) in a quantitative field
  • Bonus: Experience in healthcare, e-commerce, or other high-impact domains
  • Bonus: Demonstrated success in contributing to or publishing research that advances applied data science
  • Bonus: Prior exposure to GenAI product strategy or large-scale applied ML infrastructure