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Datasets Jobs in Tennessee (NOW HIRING)

Analyze large datasets to extract meaningful insights and improve model performance * Build and optimize data pipelines for ML workflows * Collaborate with cross-functional teams to understand ...

Billing Analyst

Chattanooga, TN · On-site

$35 - $45/hr

This individual will analyze large billing datasets, work through high volumes of billing‐related IT tickets, and partner cross‐functionally to identify discrepancies, validate data, and improve ...

How You'll CREATE Analyze large datasets across music streaming platforms (e.g., Spotify, Apple Music, YouTube), social media, fan engagement, and marketing performance to identify meaningful trends ...

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Datasets information

What is the difference between Datasets vs Data Analysts?

AspectDatasetsData Analysts
Required credentialsNone specific; often familiarity with data formats and toolsBachelor's degree in data-related fields; skills in data analysis tools
Work environmentData repositories, databases, data warehousesOffice settings, data analysis software, reporting tools
Employer and industry usageUsed by data analysts, data scientists, and database managersUsed by business teams, data analysts, and decision-makers
Common search and comparison intentUnderstanding data sources and structuresInterpreting data, generating reports, making decisions

Datasets are collections of raw data used as sources for analysis, while Data Analysts interpret and analyze these datasets to generate insights and support decision-making. Datasets serve as the foundational data, whereas Data Analysts apply skills to extract value from them.

What are popular job titles related to Datasets jobs in Tennessee? For Datasets jobs in Tennessee, the most frequently searched job titles are:

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Job description

Job Title: AI/ML Engineer
Experience: 6+ Years
Location: Franklin, TN - Onsite

Job Description:
We are looking for an experienced AI/ML Engineer with 10 years of overall IT experience and strong expertise in designing, developing, and deploying machine learning models. The ideal candidate should have hands-on experience in building scalable AI solutions and working with large datasets to drive business insights.

Key Responsibilities:

  • Design, develop, and deploy machine learning and deep learning models
  • Analyze large datasets to extract meaningful insights and improve model performance
  • Build and optimize data pipelines for ML workflows
  • Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions
  • Implement and maintain production-level ML systems
  • Monitor model performance and retrain models as needed
  • Stay updated with the latest advancements in AI/ML technologies

Required Skills:

  • Strong experience in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn
  • Hands-on experience with NLP, Computer Vision, or Predictive Analytics
  • Experience with data preprocessing, feature engineering, and model evaluation
  • Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform) for ML deployment
  • Experience with SQL and handling large datasets
  • Familiarity with MLOps tools and frameworks

Preferred Qualifications:

  • Experience with Generative AI / LLMs (OpenAI, Hugging Face, etc.)
  • Knowledge of Docker, Kubernetes, and CI/CD pipelines
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills