careertakescareertakes

Data Scientist

Confidential ClientConsulting
Entry LevelFull-timeOn-SiteN/A
Texas
A Day 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.

Boost your chances. Upload your resume to see your match score.

Unlock Match Rate
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.


Role Overview

Confidential Client is looking for an entry-level Data Scientist with strong Python development skills who enjoys solving technical problems using data. You will work on client-facing projects, build data pipelines and analytics, and expand your experience in machine learning and AI. This is a full-time opportunity based in Texas (TX). Candidates must be open to relocation or travel across the U.S. depending on project needs.


What You’ll Do

  • Develop production-quality Python code for data processing, analysis, and model building
  • Extract, clean, and analyze raw datasets to generate business insights
  • Write and optimize SQL queries to support data pipelines and reporting
  • Build, test, and consume RESTful APIs to integrate data systems
  • Collaborate with cross-functional teams and client stakeholders on technical solutions
  • Participate in code reviews, version control workflows, and agile development ceremonies

What We’re Looking For (Required)

  • 1+ year of professional software development experience, using Python regularly
  • Strong understanding of data fundamentals:
    • SQL queries and relational data
    • Data structures and data cleaning
    • Working with raw datasets
    • REST APIs
  • Demonstrated problem-solving skills and attention to detail
  • Strong communication skills for client-facing work
  • Authorization to work in the United States

Preferred Qualifications

  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Familiarity with Git and collaborative development practices
  • Exposure to machine learning frameworks (scikit-learn, TensorFlow, PyTorch)
  • Experience building or consuming RESTful APIs in production environments
  • Interest in expanding skills in AI/ML and deploying models

Benefits & Professional Growth

  • 401(k) and other standard benefits (as provided by our client)
  • Tuition assistance / learning & development support
  • Mentorship and on-the-job training in applied ML and data engineering
  • Client-facing project experience to accelerate career growth
  • Opportunity to work across cloud platforms and modern ML toolchains

Location & Relocation

  • This role is based in Texas (TX). Candidates should be open to relocation or travel across the United States based on project needs. All location-related details for this posting reference Texas (TX) per the authoritative listing.

Legal & Hiring Notes

  • This role is full-time and classified as entry level.
  • Final offer is contingent on verification checks as required by our client (background checks, employment eligibility).
  • Confidential Client and Careertakes comply with applicable federal, state, and local employment laws. If you require a reasonable accommodation during the application or interview process, please let us know.

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.

Negotiate a higher salary! Check the salary ranges for this job type in your area.

View My Salary Range