Dawar Consulting, Inc. - Senior Data Scientist

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Data Scientist
💰 Negotiable
📍 South San Francisco, United States
Closing date: 16 days left
Twine Jobs Twine
Based in Manchester, United Kingdom
Last online 7 months ago

Data Scientist is needed in South San Francisco, United States.

Client: Dawar Consulting, Inc.

Location: South San Francisco, CA, us

Contract: Contract

Job Description

Our client, a world leader in biotechnology and life sciences, is looking for a “Senior Data Scientist" based out in South San Francisco, CA. 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

Qualifications

Required:

  • 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

Preferred:

  • 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

Job Responsibilities

Model Development & Optimization:

  • 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

Feature Engineering & Data Preparation:

  • 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

Production & Pipeline Scalability:

  • 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

Cross-Functional Collaboration & Insight Translation:

  • 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

Additional Information

Job Duration: Long Term Contract (Possibility Of Extension & FT Conversion)

Rate: $75-$78/hr on W2 (DOE)

Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K

Posted 13 days ago

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