ATR International
Mainframe AI/ML Data Discovery - Architecture - Data Architect - Advanced
ATR International, Plano, Texas, us, 75086
Job Description: As a Senior Data Engineer, you will be integral to our development team, focusing on data-driven strategies to optimize the SCIM broker solution Your role will involve analyzing and interpreting large datasets to improve automated access provisioning processes, ensuring seamless integration with mainframe and mid-range computing platforms.
Key Responsibilities:
•Collaborate with the development team to integrate data science solutions into full stack application development.
•Analyze data related to access provisioning and identify opportunities for automation and optimization.
•Develop predictive models and algorithms to enhance the SCIM broker solution's efficiency and security.
•Work with stakeholders to understand requirements and translate them into data-driven solutions.
•Perform data cleaning, preprocessing, and validation to ensure data quality and accuracy.
•Communicate findings and insights through visualizations, reports, and presentations to both technical and non-technical audiences.
•Stay up-to-date with the latest industry trends, tools, and technologies in data science and access provisioning.
Requirement:
Required Skills and Qualifications: •Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. •2-4 years of experience in data science or a related role, preferably in application development or access provisioning. •Proficiency in programming languages such as Java, Python, or R. •Strong understanding of statistical analysis and machine learning techniques. •Experience with data manipulation and analysis using libraries such as Pandas, NumPy, TensorFlow, Scikit-learn, PySpark, or Polars. •Familiarity with data visualization tools such as Matplotlib, Seaborn, Power BI, or Tableau. •Knowledge of SQL and experience with database querying. •Understanding of SCIM (System for Cross-domain Identity Management) protocols and solutions. •Experience with mainframe and mid-range computing platforms is a plus. •Ability to work collaboratively in a team environment and communicate effectively with stakeholders. •Strong problem-solving skills and attention to detail.
Requirement:
Required Skills and Qualifications: •Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. •2-4 years of experience in data science or a related role, preferably in application development or access provisioning. •Proficiency in programming languages such as Java, Python, or R. •Strong understanding of statistical analysis and machine learning techniques. •Experience with data manipulation and analysis using libraries such as Pandas, NumPy, TensorFlow, Scikit-learn, PySpark, or Polars. •Familiarity with data visualization tools such as Matplotlib, Seaborn, Power BI, or Tableau. •Knowledge of SQL and experience with database querying. •Understanding of SCIM (System for Cross-domain Identity Management) protocols and solutions. •Experience with mainframe and mid-range computing platforms is a plus. •Ability to work collaboratively in a team environment and communicate effectively with stakeholders. •Strong problem-solving skills and attention to detail.