Data Science Advisor

Jobtailor

Connecticut

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Jobtailor in Connecticut is seeking an experienced data scientist to lead advanced analytics initiatives across business and clinical priorities.

You will develop and deploy predictive models, ML solutions, and AI capabilities, translating data into actionable insights for cross-functional teams and senior leadership. The role emphasizes collaboration, mentoring, and staying ahead with GenAI and modern data tools.

Qualifications

  • 5+ years in data science or related field.
  • Strong Python/R/SQL programming skills.
  • Hands-on ML framework experience (Scikit-learn, TensorFlow, PyTorch).
  • Experience building predictive models (regression, trees, neural nets).
  • Familiarity with Spark and cloud platforms (AWS).
  • Knowledge of healthcare data and ICD-10.
  • Able to explain complex findings to technical and non-technical audiences.
  • Strong collaboration, problem-solving and critical thinking.
  • Master’s or PhD in a quantitative field preferred.
  • Experience with GenAI/LLMs (preferred).
  • Experience with Tableau or similar data viz (preferred).

Responsibilities

  • Lead design and delivery of advanced data science solutions aligned to business priorities.
  • Develop and deploy predictive models and AI capabilities to drive measurable outcomes.
  • Translate complex data into clear insights for stakeholders.
  • Partner with IT, Clinical, Operations to deliver analytics end-to-end.
  • Apply segmentation, regression, and time-series analysis to business problems.
  • Create scalable data pipelines and leverage big data technologies.
  • Present findings to senior leaders to influence strategy.
  • Provide thought leadership and mentor others on data science best practices.

Skills

Data science
Advanced analytics
Communication
Collaboration
Problem solving
Critical thinking
Mentoring
Influencing
Data visualization
Thought leadership

Education

Master's in Data Science
PhD in Data Science
Master's in Statistics
Master's in Computer Science

Tools

Python
R
SQL
Scikit-learn
TensorFlow
PyTorch
Apache Spark

Job description

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, TensorFlow, or PyTorch
  • 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
  • TensorFlow
  • 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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