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; IT System Data Services; Data Infrastructure and Analytics.

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

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What You’ll Do

We are helping a confidential client hire an entry-level Jr Data Scientist to join a consulting team focused on delivering data-driven solutions to clients across the United States. This is a hands-on role where you'll work on real-world datasets, contribute to model development, and support production-ready analytics.

• Collect, clean, preprocess, and analyze structured and unstructured datasets
• Perform exploratory data analysis (EDA) to uncover trends and insights
• Develop, train, validate, and deploy machine learning models to solve business problems
• Build data visualizations and dashboards to communicate findings to stakeholders
• Collaborate with data engineers, software developers, and business analysts to integrate models into client solutions
• Optimize models for scalability, accuracy, and performance
• Follow software development best practices, including version control and Agile methodologies

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Who You Are

This role is suited for recent graduates or early-career professionals who are eager to grow in data science and consulting engagements. You enjoy tackling messy data, learning new tools, and translating technical results into business value.

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Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Technology, Mathematics, Statistics, or a related technical field
• 1–4 years of relevant experience (internships, academic projects, or professional work)
• Strong programming skills in Python, R, SQL or similar languages
• Working knowledge of statistics, probability, linear algebra, and machine learning fundamentals
• Familiarity with data analysis libraries such as Pandas, NumPy, and Scikit-learn
• Knowledge of SQL and relational database concepts
• Willingness to relocate to Atlanta, GA for a paid training program and to travel or relocate as required for client engagements across the United States
• Authorization to work in the United States (the confidential client cannot sponsor at this time)

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Preferred Qualifications

• Experience or coursework using machine learning frameworks (TensorFlow, PyTorch, Keras, XGBoost)
• Exposure to cloud platforms (AWS, Azure, GCP)
• Familiarity with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
• Experience with Git, Jupyter Notebook, or Google Colab
• Strong analytical thinking and clear verbal + written communication skills

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Compensation & Employment Type

• Employment type: Full-time (W2)
• Pay: $35–$40 per hour
• Paid training and relocation support for the Atlanta, GA training program (as noted above)

Note: This posting follows applicable state pay-transparency requirements for positions located in California.

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Additional Details

• Role level: Junior / Entry-level
• Work model: Onsite or client-site as required by engagements (subject to project needs)
• Travel: May require travel to client sites across the US
• This posting is managed by Careertakes; you will be an employee of the confidential client if hired

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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.