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# Data Scientist

- **Company:** VeeRteq Solutions Inc
- **Location:** Johns Creek, GA, United States
- **Salary:** $59,200.0 - $98,600.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Databases, Continuous Integration, Data Cleansing, Data Mining, Data Visualization, Apache Hadoop, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Natural Language Processing, Power BI, Tensorflow, SQL Databases, Tableau (Software), Unstructured Data, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Generative AI, Git, Matplotlib, Scikit Learn, Kubernetes, Information Technology, Xgboost, Machine Learning Operations, Software Library, Docker, Databricks
- **Published:** September 5, 2026
- **Apply:** https://www.careerjet.com/jobad/us366dfd62b0c30277390274ba1d8f4c3c

## About the Role

* Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
 * Strong proficiency in Python and/or R.
 * Experience with SQL and database technologies.
 * Hands-on experience with machine learning libraries such as Scikit-Learn, TensorFlow, PyTorch, or XGBoost.
 * Strong understanding of statistics, probability, and predictive modeling.
 * Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
 * Knowledge of cloud platforms such as AWS, Azure, or GCP.
 * Experience with big data technologies such as Spark, Hadoop, or Databricks is a plus.
 * Excellent problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

 * Experience in healthcare, life sciences, finance, retail, or relevant industry domains.
 * Knowledge of Generative AI, LLMs, NLP, and MLOps frameworks.
 * Experience deploying machine learning models in production environments.
 * Familiarity with Git, CI/CD pipelines, Docker, and Kubernetes.

## Description

We are seeking a highly analytical and motivated Data Scientist to join our team. The ideal candidate will leverage statistical analysis, machine learning, and data mining techniques to derive actionable insights from complex datasets. The candidate will work closely with business stakeholders, data engineers, and product teams to develop predictive models, optimize business processes, and support data-driven decision-making. Key Responsibilities

 * Analyze large, complex datasets to identify trends, patterns, and business opportunities.
 * Develop, validate, and deploy machine learning and statistical models.
 * Design and implement predictive and prescriptive analytics solutions.
 * Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
 * Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
 * Create dashboards, visualizations, and reports to communicate findings effectively.
 * Monitor model performance and continuously improve model accuracy and efficiency.
 * Conduct A/B testing and hypothesis testing to support business initiatives.
 * Work with structured and unstructured data from multiple sources.
 * Stay updated on emerging data science, AI, and machine learning technologies and best practices.


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