Entry Level Data Scientist/Analyst/Java full stack developer
This entry-level role at Confidential Client targets recent graduates and early-career professionals seeking to build foundational skills in AI, machine learning, and full stack development. The position emphasizes practical experience with Python, Java, data workflows, and cloud deployment, preparing candidates for junior roles in AI, ML, data science, and software development. It offers career development through hands-on projects, interview preparation, and resume enhancement to bridge the gap between academic knowledge and employer expectations.
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 & IT Staffing.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Position overview
Confidential Client is seeking motivated entry-level candidates for roles that bridge data, machine learning, and software development. This opportunity is ideal for recent graduates or career-switchers who want hands-on experience building practical AI/ML projects, data workflows, and full‑stack applications. Candidates with interests in Python, SQL, statistics, Java full‑stack development, NLP, and cloud basics are encouraged to apply.
What You’ll Do
- Work on entry-level data science, analytics, or full‑stack development tasks under mentorship.
- Clean, explore, and transform data using Python and SQL for analysis and model input.
- Implement basic machine learning models and evaluate model performance.
- Support integration of models or data workflows into APIs or simple deployment pipelines.
- Contribute to backend or frontend code (Java/full‑stack) on client projects as needed.
- Document results and explain findings to technical and non-technical stakeholders.
- Participate in technical interview preparation and resume/portfolio improvements offered through the program.
Required qualifications (ideal baseline)
- Degree in Computer Science, Engineering, Mathematics, Statistics, or related field — recent grads welcome.
- Basic coding experience in Python and/or Java.
- Familiarity with SQL and working with structured data.
- Understanding of fundamental statistics and model evaluation (train/test, metrics).
- Strong problem‑solving, communication, and collaborative skills.
- Authorized to work in the United States (no sponsorship provided unless stated).
Preferred / nice-to-have
- Coursework or projects involving machine learning, NLP, or data pipelines.
- Experience with REST APIs, basic cloud concepts (AWS/GCP/Azure), or containerization.
- Exposure to Java full‑stack frameworks, frontend basics (HTML/CSS/JS), or DevOps fundamentals.
- Internship, open-source contributions, or personal projects demonstrating applied skills.
Why this role is a good fit
- Designed for entry‑level talent: structured mentoring and practical project work to build employer‑ready skills.
- Mix of data and software experience — ideal if you want to develop both ML and full‑stack capabilities.
- Opportunity to be considered for full-time placements across client engagements through Confidential Client’s network.
- Practical focus: strengthen technical fundamentals, build interview readiness, and improve resume positioning.
What Confidential Client provides
- Mentorship and guided projects to build demonstrable work samples.
- Interview prep and resume/portfolio feedback targeted to ML, data science, and full‑stack roles.
- Potential placement opportunities with client partners and hiring managers.
- Access to learning resources and recorded events referenced in the program materials.
Hiring process & candidate privacy
- Screening call with a Careertakes recruiter, followed by technical assessments or coding exercises as appropriate.
- Confidential Client and Careertakes may share candidate resumes with hiring managers and partner teams for matching.
- Candidates may opt out of further contact by notifying the recruiter or following unsubscribe instructions if contacted.
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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