Data Scientist

3 weeks ago


Houston, Texas, United States Smart IT Frame LLC Full time

Job Title: Data Scientist

Location: Remote

Job Type: Long-term Contract

Job Summary:

Smart IT Frame LLC is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for developing and applying machine learning models and statistical analysis to drive business value. You will work closely with cross-functional teams to deliver repeatable and scalable data solutions.

Key Responsibilities:

  • Develop and implement machine learning models to optimize business processes
  • Apply statistical analysis to extract insights from complex data sets
  • Collaborate with data engineers to design and implement data pipelines
  • Communicate complex analytics results to stakeholders
  • Stay up-to-date with the latest AI techniques and technologies

Requirements:

  • Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research)
  • 2+ years of experience in statistical modeling and quantitative analysis
  • Advanced degree (MS or PhD) in Statistics, Mathematics, or Quantitative Marketing preferred

Preferred Qualifications:

  • Experience with Databricks, AWS SageMaker, and Azure AI Studio
  • Knowledge of Linux, Git, and Docker containers
  • Ability to learn and apply new quantitative techniques quickly

Responsibilities:

Lead the design and implementation of data solutions using advanced technologies. Oversee the integration of Dockers & Containers to streamline deployment processes. Provide expertise in GIT for version control and collaborative development. Utilize Linux for system administration and optimization of applications. Implement Azure AI solutions to enhance data analysis and insights. Leverage AWS services to build scalable and efficient systems. Utilize Databricks for big data processing and advanced analytics. Apply Data Science techniques to extract meaningful insights from data. Collaborate with cross-functional teams to ensure seamless integration of solutions. Ensure the security and integrity of data through best practices. Develop and maintain documentation for all projects and processes. Mentor junior engineers and provide guidance on best practices and technical solutions. Continuously evaluate and adopt new technologies to improve geospatial capabilities.

Qualifications:

  • Possess a strong background in Dockers & Containers for efficient application deployment
  • Demonstrate proficiency in GIT for effective version control and collaboration
  • Have extensive experience with Linux for system administration and optimization
  • Show expertise in Azure AI for advanced data analysis and insights
  • Be skilled in AWS services for building scalable geospatial systems
  • Have hands-on experience with Databricks for big data processing
  • Apply Data Science techniques to derive insights from complex geospatial data
  • Exhibit strong problem-solving skills and attention to detail
  • Possess excellent communication and collaboration abilities
  • Have a proven track record of leading successful geospatial projects
  • Be committed to continuous learning and staying updated with industry trends

Certifications Required:
Certified Kubernetes Administrator (CKA), Microsoft Certified: Azure AI Engineer Associate, AWS Certified Solutions Architect, Databricks Certified Data Engineer Associate


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