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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Role Overview

This entry-level/full-time role supports data science and BI initiatives for a confidential client in the IT industry. You'll work with engineering and analytics teams to prepare data, build models, and deliver dashboards and tooling that support product and business decisions. This position is a great fit for recent grads or career-switchers with foundational programming and analytical skills who want on-the-job mentorship and exposure to production ML/BI systems.

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What You’ll Do

• Assist with data cleaning, ETL, and dataset preparation for analysis and modeling
• Build and validate basic predictive models and statistical analyses
• Create interactive BI dashboards and visualizations to summarize insights
• Write scripts and small applications to automate data tasks (Python/Java or similar)
• Collaborate with software engineers to move models and pipelines into production
• Document analyses, reproducible workflows, and present results to stakeholders
• Participate in peer code reviews and learning sessions

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Qualifications

Minimum (we encourage applicants who meet most of these to apply):

• Degree in Computer Science, Engineering, Math, Statistics, or related field — recent graduates welcome
• Practical experience (class projects, internships, bootcamps) using Python or Java for data tasks
• Familiarity with SQL and basic data modeling
• Exposure to BI tools or dashboarding (Power BI, Tableau, Looker, etc.) or interest in learning them
• Strong analytical thinking, problem-solving, and communication skills
• Desire to learn production deployment patterns and collaboration with engineering teams

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Nice-to-Haves

• Coursework or project experience with machine learning or statistical modeling
• Familiarity with ETL tools, data warehouses, or cloud platforms
• Basic understanding of full-stack or DevOps concepts (helpful for productionizing models)
• Prior experience as a data analyst, BI analyst, or intern on analytics teams

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Compensation & Employment Type

• Employment type: FULL_TIME
• Salary range (posted by the confidential client): $82,000 - $136,000 per year
• Location: Portland, OR — on-site or hybrid as required by the confidential client
• Benefits: standard benefits package (health, paid time off, retirement) — specifics provided by the client during hiring

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Why This Role

• Strong path for career growth into Data Engineer, ML Engineer, or Senior Data Scientist roles
• Structured mentorship and exposure to production data systems
• Designed for candidates restarting or starting tech careers — real project experience matters

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Keywords / Skills

• Junior Data Scientist
• Data Science / Data Analyst / BI Analyst
• Python, Java, SQL
• Machine Learning, ETL, BI dashboards
• Entry-level, Portland, OR

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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.