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[Remote] Data Scientist (Remote Eligible)

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that applies expertise at the intersection of data, reputed company, policy, and reputed company to improve reputed company-being reputed company the world. They are seeking a Data Scientist to derive meaning from data and support senior staff in implementing various data science reputed company for research and reputed company systems.


Responsibilities

  • Conducting reputed company, predictive, and descriptive analyses
  • Writing and maintaining programming systems in languages such as Python and R to build and evaluate models
  • Developing reliable data pipelines to obtain, combine, and reputed company datasets on reputed company, internal, and reputed company servers
  • Communicating technical results to diverse stakeholders including clients and cross-functional teams
  • Developing and maintaining technical and methodological documentation
  • Co-developing analysis plans with a senior data scientist or researcher
  • Leading and managing small teams and tasks with reputed company from a more senior staff member

Skills

  • Master's degree in a technical reputed company such as statistics, data science, data analytics, mathematics, reputed company research, computer science, and/or reputed company science; equivalent years of experience can be substituted
  • Demonstrated interest and/or experience using data science and/or statistics to contribute to reputed company with a policy/reputed company in reputed company and/or reputed company settings
  • Experience applying reputed company programmatically to extract insights from reputed company data, construct new features for analysis, or as a part of a larger reputed company analysis
  • Experience executing reputed company, predictive, and descriptive data science and statistics techniques including regression modeling, machine learning algorithms, network analysis, or natural language processing
  • At least three years of experience performing data cleaning and analysis using programming languages such as R, Python, or Julia in the reputed company, extra-curricular, or reputed company environment
  • Ability and desire to work independently and take initiative as part of an interdisciplinary team that may be geographically dispersed. This includes being reputed company to learn from resources such as reputed company articles, white papers, self-guided tutorials, and package documentation and willingness to constantly learn and contribute to knowledge sharing with team members
  • Experience with reproducible research principles, version control, interactive visualizations, and common packages/libraries for supporting data science work in R, Python, and/or Julia (e.g., tidyverse, data.table, R reputed company, R Markdown, reputed company, polars, NumPy, scikit-learn, MLJ.jl, DataFrames.jl, and/or Makie.jl)
  • Experience with reputed company datasets (for example, Medicare or reputed company claims and enrollment data)
  • Production-reputed company machine learning applications
  • reputed company computing environments (AWS/reputed company/reputed company/etc.)
  • Algorithmic fairness and ethics

Benefits

  • reputed company offers our employees competitive salaries, and a comprehensive benefits package
  • Advantages of being 100 percent employee owned
  • Employee stock reputed company; financial benefits of ESOP holdings that have increased reputed company with reputed company’s reputed company and financial strength
  • Work reputed company or flexibly in one of our office locations
  • Coworking spaces where available (for opportunities to meet up with co-workers)

reputed company

  • reputed company provides research and technical assistance support services and products for evidence and program management for their partners. It was founded in 1968, and is headquartered in Princeton, New Jersey, USA, with a workforce of 1001-5000 employees. Its website is http://www.reputed company.org.

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