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# Data Scientist

- **Company:** VILLAS AUTO SALES
- **Location:** Huntsville, AL, United States
- **Experience:** Expert
- **Salary:** $69,550.0 - $125,725.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Databases, Data Cleansing, Data Transformation, Data Visualization, Python (Programming Language), Machine Learning, NumPy, Power BI, Tensorflow, Standard Sql, SQL Databases, Tableau (Software), Unstructured Data, Jupyter Notebook, Feature Engineering, Pytorch, Apache Spark, Deep Learning, Model Validation, Git, Pandas, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** August 13, 2026
- **Apply:** https://www.careerjet.com/job/us7005c6357068d0218979f40df016ce7e/eaa

## About the Role

* Python
 * SQL
 * Machine Learning
 * Statistical Analysis
 * Pandas & NumPy
 * Scikit-learn
 * Data Cleaning & Preprocessing
 * Predictive Modeling
 * Feature Engineering
 * Data Visualization

Secondary Skills

 * TensorFlow / PyTorch
 * Power BI / Tableau
 * NLP
 * Deep Learning
 * Azure / AWS / GCP
 * Spark
 * Jupyter Notebook
 * Git
 * MLOps

Educational Qualification

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

Preferred Experience

 * 3-6 years of experience in Data Science, Machine Learning, or a related field.
 * Strong understanding of statistics and machine learning algorithms.
 * Experience working with large datasets and databases.
 * Good problem-solving and analytical skills.
 * Strong communication and presentation skills.

## Description

We are looking for a skilled Data Scientist to analyze complex datasets, develop predictive models, and provide data-driven insights that support business decisions. The ideal candidate should have strong experience in machine learning, statistical analysis, Python, SQL, and data visualization.
Key Responsibilities

 * Collect, clean, preprocess, and analyze structured and unstructured data.
 * Develop and deploy machine learning and statistical models.
 * Perform exploratory data analysis and identify meaningful patterns and trends.
 * Build predictive and classification models using appropriate algorithms.
 * Evaluate model performance and optimize models for accuracy and scalability.
 * Work with stakeholders to understand business requirements and translate them into analytical solutions.
 * Create dashboards, reports, and visualizations to communicate insights effectively.
 * Perform feature engineering, model validation, and hyperparameter tuning.
 * Collaborate with Data Engineers, Software Engineers, and Business Teams.
 * Monitor deployed models and improve performance based on new data.
 * Document methodologies, analysis, models, and results.


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