Entry Level Data Scientist/Analyst/Java full stack developer
This entry-level role at Confidential Client targets recent graduates and career switchers aiming to develop practical skills in data science, analytics, and full stack Java development. The position emphasizes building real-world experience through SQL, dashboard creation, and business case storytelling to prepare candidates for competitive tech roles. Confidential Client supports candidates in bridging the gap between academic knowledge and employer expectations to secure full-time positions with leading tech companies.
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).
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role overview
Confidential Client is hiring entry-level technical talent in Santa Clara, CA for full-time roles spanning data and software tracks (Data Scientist / Data Analyst / Java Full‑Stack Developer). This hiring channel is intended for early‑career candidates, recent grads, career changers, and those with gaps who can show practical work or projects. Visible pay range: $79,000 - $136,000 per year.
What You’ll Do
This is an entry-level, hands-on position. Depending on the specific opening you’re matched to, you may:
- Write and optimize SQL queries to extract and validate data for analysis and reporting
- Build dashboards and visualizations that communicate insights to non‑technical stakeholders
- Implement basic data pipelines and assist with data cleaning and transformation tasks
- Support model development or evaluation for simple machine‑learning use cases (data collection, feature prep, basic model training/evaluation)
- Contribute to Java full‑stack development: backend APIs, integration points, and frontend components as assigned
- Participate in code reviews, unit tests, and documentation to keep work production‑ready
- Collaborate with cross‑functional teams (product, QA, designers) to translate business needs into deliverables
Who we’re looking for (minimum qualifications)
- Recent graduate or comparable experience in Computer Science, Engineering, Math, Statistics, or related field — OR demonstrable project/portfolio work showing relevant skills
- Practical familiarity with SQL (writing joins, aggregations, window functions)
- Experience coding in at least one language used by the team (Java or Python preferred)
- Basic understanding of data structures, algorithms, or statistical concepts relevant to analytics/ML
- Ability to communicate data findings clearly (slides, dashboards, or short written summaries)
- Willingness to learn, pair program, and receive feedback in a fast‑paced environment
Nice to have / preferred
- Portfolio or GitHub with small projects, competition work, coursework, or an internship demonstrating data or full‑stack skills
- Experience with visualization tools (Tableau, Looker, Power BI, or similar)
- Familiarity with REST APIs, basic frontend frameworks, or Java web stacks for full‑stack roles
- Exposure to simple ML workflows or libraries (scikit‑learn, TensorFlow, PyTorch) for data science roles
Compensation & location
- Salary range (reported): $79,000 - $136,000 per year
- Location: Santa Clara, California — on-site or hybrid depending on the client role (confirm at interview)
- Employment type: Full‑time
(Where local pay‑transparency laws apply, the above range is provided to comply with requirements.)
Interview & selection process
Careertakes and Confidential Client use a multi‑step process designed for early‑career candidates:
- Initial resume screening (may use automated tools + human review)
- Short technical screening — may include live SQL, coding question, or take‑home assignment depending on role
- Behavioral interview to assess communication, problem solving, and culture fit
- Final interview with hiring manager / technical lead
Coaching resources and guidance on what to prepare (sample SQL prompts, portfolio tips, and “walk me through this chart” practice) are often provided to candidates registered through Careertakes.
Why apply through Careertakes
- Third‑party recruiting support with targeted introductions to Confidential Client and other hiring partners
- Access to prep resources and potential matched roles across data and engineering teams
- Careertakes shares candidate materials only with authorized clients and teams — you control what you submit
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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