> Markdown version of [/jobs/ext/1891681-data-scientist-500428](https://www.wearedevelopers.com/jobs/ext/1891681-data-scientist-500428). 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 (500428)

- **Company:** NISHA PROPERTIES LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Analytics Applications, Cloud Computing, Python (Programming Language), Machine Learning, Unstructured Data, Data Processing, Generative AI, Pyspark, Information Technology
- **Published:** August 1, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p8u6l8kkry

## About the Role

*Minimum 5 years of hands-on experience in end-to-end model development, with mandatory experience in machine learning models for classification and regression.

*At least 5 years of experience in processing and analyzing large-scale tabular datasets.

*Proven, hands-on experience in Python development

*Strong analytical and problem-solving skills, with the ability to translate business requirements into robust technical and analytical solutions

Nice to have:

*Advantage for Experience in developing Generative AI-based applications

*Experience working in large, complex organizations and a broad, system-oriented perspective

*Practical development experience and strong business understanding within the banking or financial services domain

*Experience working in cloud based environments

*Experience in data processing using PySpark

Academic qualification:

*Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative field

## Description

*Design, development, and deployment of models on AWS-based infrastructure

*Derivation of actionable insights from data using advanced analytical tools and artificial intelligence technologies

*Definition of algorithmic solutions to address complex business challenges

*Analysis of structured and unstructured data from diverse sources

*Presentation of analytical findings and strategic business insights to stakeholders

*Evaluation and measurement of model performance and effectiveness


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing)
- [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)
- [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml)

## 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)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [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)