Data Scientist
This entry-level Data Scientist role at Confidential Client focuses on candidates with limited or no job experience, including recent graduates and career switchers. The position emphasizes practical tech skills in data science, machine learning, and related fields to prepare candidates for full-time roles with leading tech companies. The role supports bridging the gap between academic knowledge and employer expectations to enhance job prospects.
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, Technology, Information and Media.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
As a Data Scientist supporting a confidential client, you will contribute to practical data, analytics, and machine-learning projects that prepare candidates for production-ready responsibilities. Responsibilities typically include:
- Work with structured and unstructured data to support analytics and model development using Python and/or Java.
- Assist in building, validating, and documenting machine learning models and analyses.
- Collaborate with engineers, analysts, and business stakeholders to convert data into actionable insights.
- Present findings clearly and support handoffs or deployment to engineering teams.
Who We’re Looking For
This opportunity is a fit for entry-level and early-career candidates as well as professionals seeking a career transition into data roles. Ideal candidates include:
- Recent graduates in Computer Science, Engineering, Mathematics, Statistics, or related fields.
- Jobseekers affected by downsizing or those with career gaps who are ready to re-skill.
- Candidates with hands-on coursework, capstone projects, internships, or applied experience in data science, analytics, or software development.
- Professionals eager to learn modern data tools and collaborate in cross-functional teams.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related field (required).
- Practical experience with Python or Java via coursework, projects, internships, or professional work.
- Foundational understanding of data analysis and machine learning concepts.
- Authorized to work in the United States.
Nice-to-have
- Exposure to data engineering, BI, or analyst roles.
- Familiarity with common ML libraries and data tools (e.g., scikit-learn, pandas, TensorFlow, PyTorch — if you have them).
- Completed capstone projects or internships demonstrating practical problem-solving.
Recruiter Notes
Resume submissions may be shared with the confidential client and internal placement teams. If you prefer not to be contacted, please do not submit your resume.
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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