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# Data Scientist

- **Company:** Helix
- **Location:** Dallas, WV, United States
- **Salary:** $95,860.0 - $115,444.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Bash Shell, Big Data, Cloud Computing, Cluster Analysis, Computer Simulation, Computer Programming, Databases, Extract Transform Load (ETL), Data Mining, Data Visualization, Data Warehousing, Database Design, R (Programming Language), Apache Hadoop, Python (Programming Language), Linked Data, Unix Shell, Machine Learning, Natural Language Processing, Tensorflow, SAS (Software), SQL Databases, Data Streaming, Talend, Scripting, Cloud Platform System, Apache Spark, Spark Mllib, Vba Programming Language, Tools for Reporting, Looker Analytics, Unsupervised Learning
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=56bd9fdd257c9a9d

## About the Role

Do you have experience in SQL?, * Proven experience working with big data technologies including Hadoop, Spark, and cloud platforms like AWS.

 * Strong programming skills in Python, R, Java, C, or VBA for data analysis, model development, and automation tasks.
 * Demonstrated expertise in machine learning frameworks such as TensorFlow or similar platforms for model training and deployment.
 * Familiarity with natural language processing techniques and AI applications within large-scale datasets.
 * Hands-on experience designing databases and implementing ETL processes for enterprise data solutions.
 * Knowledge of analytics tools including SAS or Looker to generate comprehensive reports and dashboards.
 * Background in quantum engineering or advanced computational methods is a plus but not required. Embark on a journey where your analytical prowess fuels innovation! We're committed to fostering a vibrant environment where your skills make a tangible impact-empowering organizations through cutting-edge data science solutions that shape the future.

## Description

* Develop and implement machine learning models using frameworks such as TensorFlow, Spark MLlib, and other AI tools to solve real-world challenges.
 * Conduct data mining and exploratory data analysis on large datasets stored in Hadoop, SQL databases, or cloud environments like AWS.
 * Design and optimize ETL pipelines with tools like Talend or custom scripts in Bash (Unix shell) to ensure seamless data flow and integrity.
 * Apply unsupervised learning techniques for clustering, anomaly detection, and natural language processing tasks to extract hidden patterns.
 * Collaborate with cross-functional teams to translate business requirements into technical specifications for model training and deployment.
 * Utilize database design principles to structure data warehouses and linked data architectures for efficient querying and analysis.
 * Monitor model performance post-deployment, fine-tuning algorithms as needed to maintain accuracy and relevance in a rapidly evolving environment.
 * Leverage visualization tools such as Looker to communicate insights clearly and influence strategic initiatives.


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