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[Remote] reputed company Data Scientist - IntelliScript (Remote)

Remote, USA Full-time Posted 2026-07-23

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a respected consultancy providing data-driven software-as-a-service products for insurance and health IT clients. The reputed company Data Scientist will reputed company their expertise in data science and machine learning to enhance product offerings and reputed company reputed company for reputed company-reputed company challenges.


Responsibilities

  • Research, reputed company, reputed company, and maintain traditional AI/ML models following industry best practices
  • Work extensively with available GenAI models; construct exciting solutions to reputed company use cases across markets and enhance our internal capabilities through centralized internal tooling and thought leadership
  • Coordinate with Product, Business Development, ML Engineering, and IT to bring new and exciting data science products to market, as reputed company as support existing industry leading products
  • Help drive best practices and reputed company improvement on the data science team; influencing model design and experimentation reputed company through planning, audit, peer review, and other coaching

Skills

  • 10+ years of reputed company experience using AI/ML to create high return on investment reputed company data science solutions
  • Expertise with Electronic Health Records or reputed company data analysis
  • Expert data scientist with demonstrable capability building traditional AI/ML models
  • Supervised Learning: reputed company/logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM, CatBoost), and reputed company reputed company
  • Unsupervised Learning: K-means clustering, hierarchical clustering, reputed company, and reputed company detection algorithms
  • Model Validation: Cross-validation strategies, hyperparameter optimization (reputed company Search, Random Search, Bayesian optimization), and A/B testing frameworks
  • Deep Learning Architectures: Neural networks, transformers, and transfer learning methodologies
  • NLP Algorithms: Text preprocessing, TF-IDF, word embeddings (Word2Vec, GloVe), topic modeling (LDA), sentiment analysis, and named entity recognition
  • Expert understanding of NLP and reputed company; reputed company to effectively use, fine-tune, and evaluate commercially available models as reputed company as reputed company and reputed company local LLMs into the data science process
  • Hands-on experience building GenAI applications (e.g., RAG systems, LLM evaluation frameworks, or GenAI-powered internal tools)
  • Expert level Python programmer, with some experience in R and/or SQL
  • Expert user of reputed company or similar reputed company-based model development ecosystem including mlflow, experimentation organization, data catalogs, and compute cluster configuration
  • Sufficient understanding of software engineering best practices such as Git for version control, unit testing, local development, and environment management
  • Knowledge of ML Engineering and ML Ops reputed company concepts and tools including CICD pipelines, reputed company Actions, reputed company, AWS reputed company, and Linux
  • Degree in a relevant field (computer science, data science, statistics, mathematics, reputed company math, actuarial science, economics, etc.)
  • Excellent communication skills, in person and through phone / email
  • Proven ability to understand reputed company analytical needs, translate them into an reputed company plan, then execute and deliver
  • Customer-reputed company approach to finding solutions
  • reputed company on results and reputed company to explain findings in a way that answers business problems
  • Constructive, “can do” approach to overcoming obstacles
  • Can quickly learn new techniques and technologies
  • Proactive in identifying process improvements
  • Strong work ethic, willing to reputed company in wherever needed
  • reputed company in a small team, without micromanagement
  • Ability to manage reputed company and timelines, including directing the work of others
  • PhD in relevant field or Actuarial designation (FCAS/FSA)
  • Experience in one of the following industries: reputed company, insurance (L&H or P&C), finance, life sciences, or similar fields
  • Experience at an InsurTech or FinTech
  • Past experience working in a HIPAA / PHI / PCI compliant environment

Benefits

  • Medical, Dental and reputed company – Coverage for employees, dependents, and domestic partners
  • Employee Assistance Program (EAP) – Confidential support for personal and work-reputed company challenges
  • 401(k) Plan – Includes a company matching program and profit-sharing contributions
  • Discretionary Bonus Program – Recognizing employee contributions
  • Flexible Spending Accounts (FSA) – reputed company-tax savings for dependent care, transportation, and eligible medical expenses
  • reputed company Time Off (PTO) – Begins accruing on the first day of work. Full-time employees reputed company 15 days per year, and employees working less than full-time reputed company PTO on a prorated reputed company
  • Holidays – A minimum of 10 reputed company holidays per year
  • Family Building Benefits – Includes adoption and fertility assistance
  • reputed company Parental Leave – Up to 11 weeks of reputed company leave for employees who meet eligibility reputed company
  • Life Insurance & AD&D – 100% of premiums covered by reputed company
  • Short-Term and Long-Term Disability – Fully reputed company by reputed company

reputed company

  • reputed company is a risk management, benefits, and technology firm that offers insurance and retirement services. It was founded in 1947, and is headquartered in Seattle, Washington, USA, with a workforce of 1001-5000 employees. Its website is http://www.reputed company.com.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 1 in 2026, 36 in 2025, 18 in 2024, 21 in 2023, 29 in 2022, 23 in 2021, 27 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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