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Data Scientist

Confidential ClientConsulting
Entry LevelFull-timeOn-SiteN/A
California
2 Days Ago

The Data Scientist role at Confidential Client involves leveraging strong Python development skills and data fundamentals to solve technical problems and support client-facing projects. The position requires at least one year of professional software development experience and offers opportunities to expand expertise in AI and machine learning, with preferred experience in cloud platforms and collaborative development practices.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


About the Role

We are seeking a Data Scientist to join a Confidential Client delivery team working on client-facing analytics and AI projects. This is a hands‑on role focused on solving business problems with Python, building data pipelines, and applying machine learning where appropriate. The role suits an early-career professional with professional software development experience (1+ year) who wants to grow their AI/ML and cloud experience.


What You’ll Do

  • Develop and maintain Python code to ingest, clean, and transform raw datasets for analytics and modeling.
  • Write and optimize SQL queries to support analysis and reporting.
  • Build and consume RESTful APIs for data integration and deployment.
  • Prototype and evaluate machine learning models and communicate results to stakeholders.
  • Follow collaborative development practices (Git, code reviews, testing).
  • Troubleshoot data quality issues and document data workflows.

Required Qualifications

  • 1+ year of professional software development experience using Python in production or project settings.
  • Strong data fundamentals: SQL, data structures, working with raw datasets.
  • Experience with REST APIs and integrating data from external services.
  • Clear written and verbal communication skills for client-facing interactions.
  • Authorization to work in the U.S. without employer sponsorship.

Preferred Qualifications

  • Experience with one or more cloud platforms (AWS, Azure, or GCP).
  • Familiarity with Git, CI/CD, and collaborative software development workflows.
  • Exposure to machine learning libraries (scikit-learn, TensorFlow, PyTorch).
  • Experience deploying models or building data services (APIs, microservices).
  • Bachelor’s degree in a quantitative field or equivalent work experience.

Location & Travel

This position is based in California with the expectation that candidates are willing to relocate or travel to client sites across the United States as project needs require. The Confidential Client may require assignment-based relocation; applicants should be open to U.S. relocation.


Employment Type & Benefits

  • Employment type: Full‑time.
  • Compensation: Competitive and based on experience (Confidential Client will provide details during the hiring process).
  • Confidential Client provides standard benefits consistent with U.S. full‑time employment (healthcare, paid time off, etc.). Specific benefits will be shared with candidates during the process.

Legal & Accessibility Notes

Confidential Client and Careertakes comply with all applicable U.S. federal, state, and local employment laws. Reasonable accommodations are available for candidates with disabilities; contact Careertakes if you need assistance during the application or interview process.


Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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