Data Scientist
The Data Scientist role at Confidential Client involves leveraging strong Python development skills and data fundamentals to solve technical problems and deliver 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.
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 seeking an Entry‑level Data Scientist based in Texas (TX). This full‑time, client‑facing role is ideal for an early‑career professional with solid Python development experience who wants to grow into AI/ML project work. Candidates should be open to relocating within the United States based on project needs.
What You’ll Do
You will work on data projects that support client engagements and internal initiatives. Typical responsibilities include:
- Develop and maintain Python code for data processing, analysis, and model prototypes
- Write and optimize SQL queries to extract and prepare datasets
- Work with raw datasets to clean, transform, and validate data for analysis
- Consume and/or build RESTful APIs to integrate data pipelines and services
- Collaborate with cross‑functional teams using Git and standard software development practices
- Support experiments and initial ML model development using common frameworks
Required Qualifications
- 1+ year of professional software development experience where Python is used regularly
- Solid understanding of data fundamentals, including SQL and data structures
- Experience working with REST APIs and raw datasets
- Strong problem‑solving skills and attention to detail
- Ability to communicate technical work clearly in client‑facing settings
- Legally authorized to work in the United States
Preferred Qualifications
- Experience with cloud platforms (AWS, Azure, or GCP)
- Familiarity with Git and collaborative development workflows (code review, CI)
- Exposure to machine learning frameworks such as scikit‑learn, TensorFlow, or PyTorch
- Prior experience building or consuming RESTful APIs in production or prototype environments
Nice‑to‑Have / Growth Opportunities
- Hands‑on experience deploying models or data pipelines to cloud services
- Interest in MLOps, model monitoring, and productionization best practices
- Eagerness to work on client projects across different industries and domains
Benefits & Culture
Confidential Client operates in the IT Services and IT Consulting space and typically offers benefits consistent with the industry (examples inferred from the listing):
- 401(k) and retirement plans
- Tuition assistance and professional development support
- A collaborative environment focused on mentorship and skill growth
(Actual benefits will be shared by the client during the hiring process.)
Applicant Notes & Legal Compliance
- This posting is for an entry‑level, full‑time Data Scientist role based in Texas (TX). Applicants must be authorized to work in the United States.
- Careertakes and our client comply with federal, state, and local employment laws. We do not discriminate on any protected characteristic and welcome candidates from diverse backgrounds.
- If you need accommodations 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.
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