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 Services and IT Consulting.

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

---

What You’ll Do

As an Entry-Level Data Scientist at Confidential Client you will work with large datasets to build predictive models, run analyses, and translate results into clear business recommendations. This is a hands-on role suited to recent master’s graduates or early-career professionals (0–2 years).

• Analyze structured and unstructured data to identify trends, patterns, and opportunities
• Perform data cleaning, preprocessing, exploratory data analysis (EDA), and feature engineering
• Develop, validate, and evaluate machine learning and statistical models (regression, classification, clustering)
• Write SQL to extract and transform data; use Python for analysis, modeling, and automation
• Create data visualizations and present findings to technical and non‑technical stakeholders
• Collaborate with Data Engineers, Software Engineers, and business teams to deliver production-ready solutions
• Document methodologies, assumptions, and model performance; keep up with advances in ML/AI

---

Qualifications

• Master’s degree in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, Economics, or closely related) — required
• 0–2 years of relevant experience; strong academic projects or internships accepted
• Solid foundation in statistics, probability, and machine learning fundamentals
• Strong problem-solving skills and attention to detail
• Effective written and verbal communication skills for cross-functional collaboration
• Must be legally authorized to work in the U.S.; candidate should be open to relocation within the U.S.

---

Required Technical Skills

• Python (pandas, scikit-learn or similar)
• SQL (queries, joins, aggregations)
• Machine learning fundamentals and model evaluation metrics
• Data cleaning, feature engineering, and EDA
• Data visualization (Matplotlib, Seaborn, Plotly, or similar)

---

Compensation & Logistics

• Employment type: Full-time
• Experience level: Entry-level (0–2 years)
• Location: Denver, CO (on-site or as specified by Confidential Client)
• Pay: $30–$35 per hour

---

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.