Entry Level Data Scientist
This entry-level Data Scientist role at Confidential Client targets recent graduates and career changers seeking to enter tech fields such as data science, machine learning, and software development. The position emphasizes bridging technical skills with business understanding, providing support for job preparation, interview confidence, and visa-related processes. Candidates will gain hands-on experience and guidance to become competitive in the tech job market.
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, Information Technology (IT Services & Staffing).
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role overview
Careertakes is helping a Confidential Client build their data team. This entry-level Data Scientist role is a full-time position in the Information Technology sector. The Confidential Client seeks candidates who are eager to learn, capable of applying core data-science techniques, and able to communicate insights to non-technical stakeholders.
What You’ll Do
- Prepare, clean, and explore structured and unstructured data to support modeling and reporting.
- Build and evaluate statistical and machine-learning models (classification, regression, clustering).
- Write reproducible analysis and model code using Python (pandas, scikit-learn) or equivalent tools.
- Produce clear visualizations and reports to translate technical results into business recommendations.
- Collaborate with engineers and product stakeholders to move models toward production and monitor model performance.
- Document analyses, assumptions, and model decisions; follow reproducible-data workflows and version control.
- Participate in junior-to-mid level cross-functional meetings and contribute to continuous-improvement initiatives.
What We’re Looking For
Minimum qualifications (good-faith, non-discriminatory requirements):
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related quantitative field — or equivalent practical experience.
- 0–2 years of hands-on experience performing data analysis or building predictive models (internships, capstone projects, or coursework count).
- Proficiency in Python and SQL.
- Practical experience with pandas, numpy, scikit-learn, or comparable libraries.
- Strong analytical thinking, attention to detail, and clear written + verbal communication skills.
- Ability to work in a collaborative team environment and effectively present technical findings to non-technical stakeholders.
- Authorized to work in the U.S.; candidates on F-1 OPT/STEM OPT may be considered — Confidential Client may provide immigration support on a case-by-case basis.
Preferred / nice-to-have skills:
- Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly, or Tableau).
- Exposure to cloud platforms (AWS, GCP, or Azure) or containerization (Docker).
- Experience with model monitoring, basic MLOps practices, or SQL-based reporting/BI workflows.
- Coursework or projects in machine learning, statistics, or applied data science.
Compensation & Employment Type
- Employment type: FULL_TIME.
- Estimated salary (from source data): $182,023 per year — estimated. Actual compensation will be set by the Confidential Client and may vary by location and candidate experience.
- Benefits may include standard IT-sector offerings (healthcare, paid time off, training/development) — exact details provided by the Confidential Client during the interview/offer stage.
Why Candidates Like This Opportunity
- Structured pathway from early-career projects to more advanced analytics and ML work.
- Mentorship and on-the-job learning with engineers and product teams.
- Opportunity to build production-ready ML experience and strengthen technical portfolio.
- Consideration for candidates transitioning into tech from other roles or recent graduates.
Recruiter notes (Careertakes)
Careertakes is representing this opening on behalf of a Confidential Client. We screen for both technical fit and communication/learning potential. If you submit your resume through Careertakes, your information will be shared with the Confidential Client and may be considered for other, similar roles we represent. Final hiring decisions are made by the Confidential Client.
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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