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Data Science Advisor

Job in New Haven, New Haven County, Connecticut, 06540, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-14
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Lead the design and delivery of advanced data science solutions that align to business and clinical priorities
  • Develop and deploy predictive models, machine learning solutions, and AI capabilities to drive measurable outcomes
  • Translate complex data into clear insights and recommendations for business and technical stakeholders
  • Partner with cross-functional teams (IT, Clinical, Operations) to deliver end-to-end analytics solutions
  • Apply advanced analytical methods including segmentation, regression, and time-series analysis to solve business problems
  • Create scalable data pipelines and leverage big data technologies to support analytics initiatives
  • Present findings to senior leaders to influence strategy and decision-making
  • Provide thought leadership and mentor others on data science best practices and emerging technologies
Requirements
  • 5+ years of experience in data science, advanced analytics, or related field
  • Strong programming skills in Python, R, SQL, or similar tools
  • Hands-on experience with machine learning frameworks such as Scikit-learn, Tensor Flow, or Py Torch
  • Experience developing predictive models using regression, decision trees, or neural networks
  • Exposure to big data technologies such as Apache Spark and cloud platforms (e.g., AWS)
  • Knowledge of healthcare data and systems (e.g., claims data, ICD-10)
  • Ability to communicate complex findings to both technical and non-technical audiences
  • Strong collaboration, problem-solving, and critical thinking skills.
  • Master’s or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or similar (preferred)
  • Experience with GenAI and LLM technologies such as GPT, RAG, or vector databases (preferred)
  • Experience with data visualization tools such as Tableau (preferred)
Hard Skills
  • data science
  • advanced analytics
  • predictive models
  • machine learning
  • Python
  • R
  • SQL
  • Scikit-learn
  • Tensor Flow
  • Apache Spark
Soft Skills
  • communication
  • collaboration
  • problem-solving
  • critical thinking
  • mentoring
  • influencing
  • translating complex data
  • thought leadership
Certifications & Qualifications
  • Master’s in Data Science
  • PhD in Data Science
  • Master’s in Statistics
  • Master’s in Computer Science
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