Staff Data Scientist

Long Island City, New York Technology Posted January 12, 2024
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Client: Confidential (Tech Advertising)
Location: Hybrid (12 days a month onsite in Long Island City)
Compensation: $150,000-$190,000 year + Bonus 
Salary an estimate provided by JBC and commensurate with experience 

In this role, you will take the lead in developing and fine-tuning predictive ML models

  • ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health.

  • Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization.

  • Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training.

  • Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement.

  • Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs.

  • Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products.

  • Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning and explore innovative approaches to problem-solving.


  • Master's or Ph.D. in a related field with a strong academic background.

  • Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models.

  • Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning.

  • Proficiency in data manipulation, feature engineering, and model evaluation.

  • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn.

  • Excellent communication skills and the ability to collaborate effectively within cross-functional teams.

  • A passion for continuous learning and staying updated with the latest trends and technologies in data science.

  • Strong problem-solving abilities and the capacity to translate complex data into actionable insights.

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