Senior Data Scientist

Dawar ConsultingSouth San Francisco, CA
Onsite

About The Position

This role is to support high-impact AI/ML initiatives within a regulated environment and will focus on advancing targeting models and delivering scalable, production-ready solutions that drive business outcomes. The ideal candidate brings strong technical depth, hands-on model development experience, and the ability to operate independently while collaborating across cross-functional teams.

Requirements

  • Master’s or PhD in Data Science, Computer Science, Statistics, or a related field
  • Minimum 5+ years of hands-on experience in data science and machine learning model development
  • Proven track record of taking models from ideation through production deployment
  • Strong proficiency in Python, SQL, and AWS
  • Deep expertise in Machine Learning and/or Deep Learning techniques
  • Experience working with large-scale, complex datasets in collaborative environments

Nice To Haves

  • Experience within healthcare, pharmaceutical, or other highly regulated industries
  • Hands-on experience with claims data or similarly complex, regulated datasets
  • Strong understanding of data privacy, compliance, and governance requirements
  • Experience with MLOps practices, including pipeline automation, deployment, and monitoring

Responsibilities

  • Lead the design, development, and optimization of machine learning models to improve targeting accuracy and business performance
  • Apply advanced Machine Learning and Deep Learning techniques to refine existing models and develop new solutions as needed
  • Design and build scalable feature pipelines, transforming raw and complex datasets into high-quality model inputs
  • Work with large, messy datasets (e.g., claims data) while ensuring data integrity and usability
  • Transition analytical models and scripts into robust, production-ready pipelines
  • Ensure code quality, documentation, and adherence to engineering and data science best practices
  • Support model deployment, monitoring, and ongoing performance improvements
  • Partner with data science, analytics, and business teams to translate business problems into technical solutions
  • Communicate model methodologies, assumptions, and results clearly to non-technical stakeholders

Benefits

  • Medical
  • Dental
  • Vision
  • Paid Sick leave
  • 401K
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