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# Data Scientist

- **Company:** Keypixel Software Solutions
- **Location:** Johns Creek, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Visualization, Python (Programming Language), Machine Learning, Natural Language Processing, Power BI, Tensorflow, Standard Sql, Tableau (Software), Google Cloud, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Generative AI, Matplotlib, Scikit Learn, Machine Learning Operations, Software Library, Databricks
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/13e37fa8-b013-4e07-a4f8-28390e6e38c4

## About the Role

* Strong Python/R & SQL skills
 * Experience with machine learning libraries such as Scikit-Learn, TensorFlow, and PyTorch
 * Proficiency in statistics, predictive modeling, EDA, and feature engineering
 * Ability to create data visualizations using Tableau, Power BI, and Matplotlib
 * Experience working with cloud platforms such as AWS, Azure, and Google Cloud Platform
 * Familiarity with Big Data technologies like Spark and Databricks
 * Preferred experience in ML model deployment and MLOps practices
 * Knowledge of GenAI, LLM, and NLP is a plus

## Description

As a Data Scientist at our company, you will be responsible for utilizing your expertise in data analysis, machine learning, and visualization to drive key business decisions. You will work closely with cross-functional teams to extract insights from large datasets and develop predictive models to enhance our products and services., * Utilize strong Python/R & SQL skills to analyze large datasets and extract valuable insights.

 * Apply machine learning techniques such as Scikit-Learn, TensorFlow, and PyTorch to develop predictive models.
 * Conduct statistical analysis, predictive modeling, exploratory data analysis (EDA), and feature engineering to support business objectives.
 * Create data visualizations using tools such as Tableau, Power BI, and Matplotlib to communicate findings effectively.
 * Work with cloud platforms such as AWS, Azure, and Google Cloud Platform to manage and analyze data efficiently.
 * Utilize Big Data technologies like Spark and Databricks to process and analyze large datasets.
 * Collaborate with the team to deploy machine learning models and implement Machine Learning Operations (MLOps) practices.
 * Stay current with the latest advancements in AI technologies, including Natural Language Processing (NLP) and Generative AI (GenAI).


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