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# Data Scientist

- **Company:** Private Tech Inc.
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $100,000 - $175,000
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Data Files, Data Visualization, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, SQL Databases, Google Cloud, Pytorch, Deep Learning, Generative AI, Pandas, Scikit Learn, Information Technology
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist--ae5f44f9-101a-4b46-9d22-7213a6529b87

## About the Role

Data Science, Machine Learning, Data Science, Statistics, Business Support, Data Sets, Analysis Skills, Algorithms, Predictive Modeling, Trend Analysis, * Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or related field.

 * 2-5 years of experience in Data Science or a related field.
 * Strong programming skills in Python and experience with NumPy, Pandas, Scikit-learn.
 * Solid understanding of statistics, probability, and machine learning algorithms.
 * Proficiency in SQL and data visualization techniques.

Nice to have

 * Experience with deep learning frameworks such as TensorFlow or PyTorch.
 * Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
 * Knowledge of NLP, Generative AI, and A/B testing.

## Description

We are seeking a skilled Data Scientist to join our team. The role involves statistical analysis, machine learning, and delivering data-driven insights to support business decisions., * Collect, clean, process, and analyze large datasets.

 * Develop and implement machine learning models and algorithms.
 * Perform statistical analysis and hypothesis testing.
 * Build predictive models to identify trends and business opportunities.
 * Develop data visualizations and analytical reports.
 * Collaborate with Data Engineers, Business Analysts, and Engineering teams.
 * Present analytical findings and actionable recommendations to stakeholders.