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# Senior Data Scientist

- **Company:** Raas Infotek LLC
- **Location:** Grand Prairie, TX, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Big Data, Cloud Computing, Software Code Optimization, Computer Programming, Continuous Integration, Data Cleansing, Data Transformation, Data Visualization, Database Applications, R (Programming Language), Apache Hadoop, Monitoring of Systems, 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, Large Language Models, Prompt Engineering, Apache Spark, Deep Learning, Generative AI, Keras, Matplotlib, Scikit Learn, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** November 4, 2026
- **Apply:** https://www.dice.com/job-detail/6697846d-83bb-4c51-94a6-cbc31a869961

## About the Role

We are looking for an experienced Senior Data Scientist with 10+ years of experience in designing, developing, and deploying advanced machine learning models, statistical solutions, and data-driven applications. The ideal candidate should have strong expertise in Python, machine learning, deep learning, statistical modeling, and big data technologies., * 10+ years of experience in Data Science, Machine Learning, and Advanced Analytics.

 * Strong programming experience in Python, R, and SQL.
 * Expertise in Machine Learning algorithms and statistical modeling.
 * Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and Keras.
 * Experience with NLP, Deep Learning, and Predictive Analytics.
 * Strong knowledge of data preprocessing, feature engineering, and model optimization.
 * Experience working with large datasets and cloud platforms such as AWS, Azure, or Google Cloud Platform.
 * Knowledge of Spark, Hadoop, Databricks, or other big data technologies.
 * Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
 * Understanding of MLOps, model deployment, model monitoring, and CI/CD pipelines., * Experience with Generative AI, Large Language Models (LLMs), and AI-powered applications.
 * Knowledge of NLP frameworks, transformers, and prompt engineering.
 * Experience with cloud-based machine learning services.
 * Strong problem-solving, analytical, and communication skills.

## Description

* Analyze large and complex datasets to identify trends, patterns, and business insights.
 * Design, develop, train, and deploy machine learning and predictive analytics models.
 * Apply statistical techniques, hypothesis testing, regression, classification, and clustering.
 * Develop AI/ML solutions using Python and relevant machine learning frameworks.
 * Work with structured and unstructured data to solve complex business problems.
 * Build and optimize data pipelines for data collection, preprocessing, and feature engineering.
 * Implement deep learning models using TensorFlow, PyTorch, or Keras.
 * Collaborate with data engineers, software developers, and business stakeholders.
 * Deploy and monitor machine learning models in production environments.
 * Communicate analytical findings and recommendations to technical and non-technical stakeholders.