> Markdown version of [/jobs/ext/609535-data-scientist](https://www.wearedevelopers.com/jobs/ext/609535-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:** GARGI TECHNOLOGIES INC
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Big Data, Cloud Computing, Data Visualization, Apache Hadoop, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Natural Language Processing, Power BI, Tensorflow, SQL Databases, Tableau (Software), Unstructured Data, Google Cloud, Feature Engineering, Pytorch, Apache Spark, Deep Learning, Generative AI, Scikit Learn, Information Technology, Xgboost, Machine Learning Operations, Looker Analytics, Data Pipelines, Databricks
- **Published:** June 12, 2026
- **Apply:** https://www.dice.com/job-detail/94e34445-80d5-4dc1-b647-098b3a21fc37

## About the Role

* Bachelor''s or Master''s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
 * 2+ years of experience in Data Science, Machine Learning, or Analytics roles.
 * Strong proficiency in Python and SQL.
 * Experience with Machine Learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
 * Solid understanding of statistics, probability, hypothesis testing, and predictive modeling.
 * Experience working with data visualization tools such as Tableau, Power BI, or Looker.
 * Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
 * Experience handling structured and unstructured datasets.

## Preferred Qualifications

 * Experience with NLP, Deep Learning, Computer Vision, or Generative AI projects.
 * Familiarity with big data technologies such as Spark, Hadoop, or Databricks.
 * Experience deploying machine learning models in production environments.
 * Knowledge of MLOps practices and tools.

## Description

* Analyze large and complex datasets to identify trends, patterns, and business opportunities.
 * Build, validate, and deploy machine learning models for predictive and prescriptive analytics.
 * Develop data pipelines and workflows to support data collection, processing, and reporting.
 * Collaborate with cross-functional teams including engineering, product, and business stakeholders.
 * Create dashboards, visualizations, and reports to communicate findings effectively.
 * Perform exploratory data analysis (EDA) and feature engineering.
 * Monitor model performance and recommend improvements as needed.


## 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)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [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)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [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)