Entry Level Data Scientist
The Entry Level Data Scientist role at Confidential Client targets recent graduates in computer science and related fields, focusing on candidates with foundational programming and data science skills. The position emphasizes hands-on project experience and technical competency in Java, machine learning, and data visualization tools to meet client requirements. Confidential Client supports career growth through skill enhancement programs and visa assistance, aiming to prepare candidates for competitive technology roles.
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 / Data Science.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Overview
We are working with a confidential client looking for an Entry Level Data Scientist based in Manchester, NH. This is a hands-on, client-facing entry role within the IT services / data science space that supports candidates with training and visa assistance where applicable.
What You’ll Do
- Support data science and machine learning projects — collect, clean, and analyze data to deliver actionable insights.
- Build and validate models using statistical methods and machine learning techniques.
- Create data visualizations and dashboards to communicate results to technical and non-technical stakeholders.
- Assist with data pipeline tasks and collaborate with engineering teams on model deployment (APIs, containers).
- Contribute to project documentation, reproducible analyses, and code reviews.
- Participate in skill-enhancement and client-facing project assignments as needed.
Minimum Qualifications
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field.
- Project experience (academic, internship, or professional) demonstrating applied data analysis or software development.
- Programming experience with Python and familiarity with statistics or SAS.
- Understanding of software development lifecycle and basic coding practices; experience with Java, JavaScript, or C++ is a plus.
- Strong written and verbal communication skills and ability to explain technical results to clients.
- Motivated, proactive, and willing to learn new tools and techniques.
Technical Skills (required / preferred)
- Required:
- Python, statistics, and data visualization tools
- Basic familiarity with model development and evaluation
- Experience with project-based work (hands-on assignments)
- Preferred:
- SAS, computer vision, NLP, text mining
- Tableau or Power BI, time series analysis
- Containerization (Docker), CI/CD (Jenkins), REST APIs, Spring Boot / microservices
- Experience or interest in productionizing models and working in client environments
Program & Visa Support
- This role is open to U.S. citizens and candidates on visas. The confidential client provides assistance for STEM OPT extension, and may support H‑1B or green card processes depending on the candidate and role.
- Candidates who need additional hands-on experience may be eligible for the client's skill‑enhancement or training programs to help build project-ready portfolios.
Additional Details & Hiring Notes
- This is an entry-level / junior position focused on building practical, client-facing experience.
- No third-party or C2C submissions; please apply directly.
- No phone calls, please. Shortlisted candidates will be contacted by Careertakes on behalf of the confidential client.
- Successful applicants should expect to demonstrate relevant project work during the 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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