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Data Scientist

Haystack
Washington, District of Columbia, United StatesFull-time$77,600–$176,000Posted Sep 14, 2026

About the role

We're hiring on behalf of a Haystack partner!

The Role

  • Utilize data exploration, cleaning, analysis, visualization, and mining techniques to extract insights.
  • Develop and deploy algorithms and systems for complex data analysis.
  • Create ETL pipelines, query APIs, and condition data for storage.
  • Design and develop automated analytic software, techniques, and algorithms.
  • Translate complex data sets into actionable intelligence for informed decision-making.
  • Work with clients to understand their needs and deliver data-driven solutions.

What You'll Need

  • Proven experience in data exploration, cleaning, analysis, visualization, data science, or data mining.
  • Proficiency with programming languages for data analysis such as Python, R, or SQL.
  • Experience in creating ETL pipelines, including API querying and data conditioning.
  • Knowledge of version control tools like Git, GitLab, GitHub, or Bitbucket.
  • Understanding of statistical analysis, predictive modeling, and machine learning methodologies.
  • Ability to develop automated analytic software and algorithms.

What's On Offer

  • Competitive annual salary of $77,600 - $176,000 plus bonus potential.
  • Comprehensive benefits package including health, life, and retirement plans.
  • Opportunities for professional development and tuition assistance.
  • A culture that values employee contributions and supports work-life integration.

Apply via Haystack today!

Responsibilities

  • Utilize data exploration, cleaning, analysis, visualization, and mining techniques to extract insights.
  • Develop and deploy algorithms and systems for complex data analysis.
  • Create ETL pipelines, query APIs, and condition data for storage.
  • Design and develop automated analytic software, techniques, and algorithms.
  • Translate complex data sets into actionable intelligence for informed decision-making.
  • Work with clients to understand their needs and deliver data-driven solutions.

Qualifications

  • Proven experience in data exploration, cleaning, analysis, visualization, data science, or data mining.
  • Proficiency with programming languages for data analysis such as Python, R, or SQL.
  • Experience in creating ETL pipelines, including API querying and data conditioning.
  • Knowledge of version control tools like Git, GitLab, GitHub, or Bitbucket.
  • Understanding of statistical analysis, predictive modeling, and machine learning methodologies.
  • Ability to develop automated analytic software and algorithms.

Benefits

  • Competitive annual salary plus bonus potential.
  • Comprehensive benefits package including health, life, and retirement plans.
  • Opportunities for professional development and tuition assistance.
  • A culture that values employee contributions and supports work-life integration.

Skills mentioned

PythonSQLETLAPI IntegrationGitData AnalysisData VisualizationStatistical AnalysisPredictive ModelingMachine Learning

About Haystack

Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview. We're trusted by over 400,000+ tech candidates, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.

Technology51-200 employeesNewcastle upon Tyne, England