> Markdown version of [/jobs/ext/2541746-data-scientist](https://www.wearedevelopers.com/jobs/ext/2541746-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Isite Technologies Inc - **Location:** Phoenix, AZ, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Data Mining, Python (Programming Language), Machine Learning, Power BI, Tensorflow, Sql Optimization, Pytorch, Scikit Learn, Information Technology, Xgboost, Machine Learning Operations, Tools for Reporting, Unsupervised Learning - **Published:** August 1, 2026 - **Apply:** https://www.dice.com/job-detail/2f5fc060-2695-48f5-a973-29f31d697bc7 ## About the Role * Bachelor s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline. * 3-4 years of experience in data science, machine learning, predictive analytics, or a similar role. * Hands-on experience building and validating machine learning models using Python. * Strong understanding of supervised and unsupervised learning techniques. * Experience with statistical analysis, predictive modeling, and data mining methodologies. * Advanced SQL skills and experience working with large datasets. * Experience using visualization and reporting tools such as Power BI. * Excellent communication skills with the ability to translate technical findings into business recommendations. Preferred Qualification: * Master s degree in a quantitative field. * Experience working in AWS, Azure, or other cloud-based environments. * Exposure to MLOps concepts, including model deployment, monitoring, CI/CD pipelines, and model lifecycle management. * Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or XGBoost. * Familiarity with predictive analytics, forecasting, optimization, customer analytics, or operational analytics use cases. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)