360 Technology
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with DevOps and DataOps experience, focusing on machine learning solutions. Contract length is unspecified, with a pay rate of "unknown." Work is onsite in Dallas, Texas. Key skills include Python, SQL, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 8, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
-
🧠 - Skills detailed
#Cloud #Data Governance #Kubernetes #GitLab #Terraform #SQL (Structured Query Language) #Data Science #Model Deployment #DevOps #Pandas #PyTorch #TensorFlow #Spark (Apache Spark) #ML (Machine Learning) #Model Evaluation #GitHub #MLflow #Data Engineering #DataOps #Python #Monitoring #Docker #Snowflake #Scala #Databricks #Azure DevOps #Deployment #Jenkins #Azure #Data Quality
Role description
360 Technology is seeking a
•
• Data Scientist with DevOps and DataOps experience
•
• to develop, deploy, and operationalize enterprise machine learning and analytics solutions. The ideal candidate will combine strong data science expertise with hands-on experience in MLOps, CI/CD, cloud platforms, and production data operations.
•
• Key Responsibilities
•
•
• Develop machine learning, predictive analytics, and statistical models.
• Perform data preparation, feature engineering, experimentation, and model evaluation.
• Deploy and maintain models through scalable MLOps and DataOps pipelines.
• Build CI/CD workflows for data science and machine learning applications.
• Monitor model accuracy, data quality, performance, drift, and production reliability.
• Collaborate with data engineers, business teams, architects, and DevOps professionals.
• Automate cloud infrastructure, model deployment, testing, and release processes.
•
• Required Skills
•
•
• Strong experience with Python, SQL, machine learning, and statistical modeling.
• Experience with Pandas, Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
• Knowledge of Databricks, Snowflake, Spark, MLflow, or cloud machine learning platforms.
• Experience with Azure DevOps, GitHub Actions, Jenkins, or GitLab CI/CD.
• Familiarity with Docker, Kubernetes, Terraform, APIs, and cloud platforms.
• Understanding of MLOps, DataOps, model monitoring, data governance, and production support.
Candidates must be available to work
•
• onsite in Dallas, Texas
•
• .
360 Technology is seeking a
•
• Data Scientist with DevOps and DataOps experience
•
• to develop, deploy, and operationalize enterprise machine learning and analytics solutions. The ideal candidate will combine strong data science expertise with hands-on experience in MLOps, CI/CD, cloud platforms, and production data operations.
•
• Key Responsibilities
•
•
• Develop machine learning, predictive analytics, and statistical models.
• Perform data preparation, feature engineering, experimentation, and model evaluation.
• Deploy and maintain models through scalable MLOps and DataOps pipelines.
• Build CI/CD workflows for data science and machine learning applications.
• Monitor model accuracy, data quality, performance, drift, and production reliability.
• Collaborate with data engineers, business teams, architects, and DevOps professionals.
• Automate cloud infrastructure, model deployment, testing, and release processes.
•
• Required Skills
•
•
• Strong experience with Python, SQL, machine learning, and statistical modeling.
• Experience with Pandas, Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
• Knowledge of Databricks, Snowflake, Spark, MLflow, or cloud machine learning platforms.
• Experience with Azure DevOps, GitHub Actions, Jenkins, or GitLab CI/CD.
• Familiarity with Docker, Kubernetes, Terraform, APIs, and cloud platforms.
• Understanding of MLOps, DataOps, model monitoring, data governance, and production support.
Candidates must be available to work
•
• onsite in Dallas, Texas
•
• .
