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, IT.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Position Overview

This confidential client is hiring entry-level talent for roles across data science, data analysis, and Java full‑stack development based in Berkeley, CA. We are seeking candidates who want to grow into production data or software roles — people with strong fundamentals (CS, Math, Statistics, or related) and a willingness to learn practical ML, analytics, and full‑stack engineering skills. This posting is for full‑time openings. Resume submissions may be shared with hiring teams and the client’s recruitment partners.

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What You’ll Do

• Work on data analysis and modeling tasks: exploratory data analysis, feature engineering, model selection, evaluation, and interpretation.
• Write and optimize SQL queries and data pipelines to prepare datasets for analysis and modeling.
• Build and validate supervised and unsupervised models for business problems (churn, fraud, classification, regression).
• Support ML lifecycle activities including basic MLOps practices and collaboration with engineering teams for deployment.
• Contribute to Java full‑stack development tasks when applicable: backend APIs, integrations, and frontend components.
• Communicate technical results clearly for product and business stakeholders; defend modeling choices and explain tradeoffs.
• Participate in structured interview‑style problem solving and mock technical interviews as part of placement or onboarding processes.

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Required Qualifications

• Bachelor’s degree (or equivalent) in Computer Science, Engineering, Mathematics, Statistics, or related field — recent graduates and early‑career candidates encouraged.
• Practical experience with SQL and at least one programming language: Python or Java.
• Familiarity with basic machine learning concepts: supervised/unsupervised learning, evaluation metrics, feature engineering.
• Ability to explain technical work in plain business language and justify design/modeling decisions.
• Strong problem solving, communication, and teamwork skills.
• Authorized to work in the U.S.; role is based in Berkeley, CA.

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Preferred / Helpful Skills

• Experience with Python data libraries (pandas, scikit‑learn), or Java backends and common frameworks.
• Exposure to deep learning basics, NLP, or LLM/GenAI workflows.
• Familiarity with DevOps/MLOps concepts and cloud environments.
• Portfolio projects, coursework, or internships demonstrating applied projects (churn modeling, fraud detection, NLP, CV, etc.).

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Compensation & Location

• Location: Berkeley, California (on‑site / hybrid arrangements determined by the client).
• Employment Type: Full‑time.
• Salary: $79,000 - $136,000 per year (range provided by the client).
• Note: Candidates will be employed directly by the confidential client. Careertakes may share resumes with the client and related placement teams.

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Why This Role Is a Good Fit

• Designed for recent grads, career changers, and professionals re‑entering the workforce who have strong fundamentals but may lack interview fluency or enterprise experience.
• Structured training and interview preparation are often available through the client’s programs (if applicable) to bridge gaps between academic knowledge and employer expectations.
• Opportunity to work on real business problems, gain production experience, and move into specialized ML or full‑stack engineering tracks.

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Application & Process (Recruiter Note)

Careertakes is acting as the recruiting platform for this opening. Selected candidates will continue through the client’s interview process, which may include technical assessments, live coding/SQL, case studies, and behavioral interviews. Candidates should be prepared to discuss projects end‑to‑end and demonstrate how they would productionize models or ship features.

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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.