Machine Learning jobs in United States

Key Responsibilities:

• Develop, modify, and optimize SAS programs for data analysis, reporting, and visualization.
• Extract, transform, and load (ETL) data from multiple sources into SAS environments.
• Conduct statistical analysis, predictive modeling, and machine learning using SAS.
• Collaborate with business teams to understand requirements and provide data-driven solutions.
• Develop and maintain SAS-based dashboards and reports.
• Ensure data quality, accuracy, and compliance with organizational standards.
• Optimize SAS processes for improved efficiency and performance.
• Provide support and training to teams on SAS best practices and analytics.

Required Skills & Qualifications:

• Bachelor’s/Master’s degree in Statistics, Computer Science, Data Science, Mathematics, or a related field.
• 3+ years of hands-on experience in SAS programming (SAS Visual Investigator, SAS Macros, SAS SQL, SAS Enterprise Guide, SAS Viya 3.5 with SAS Studio, SAS Data Integration Studio, SAS 9 Programming).
• Strong expertise in data manipulation, cleansing, and validation.
• Experience with statistical modeling, regression analysis, and machine learning in SAS.
• Familiarity with database management systems (SQL, Oracle, Teradata, Hadoop, etc.).
• Ability to analyze complex datasets and provide actionable insights.
• Experience with BI tools (Tableau, Power BI, or SAS Visual Analytics) is a plus.
• Strong problem-solving, analytical, and communication skills.

The following experience is a plus:

i. SAS Visual Analytics

ii. Python Programming

iii. SAS Text Analytics

iv. Natural Language Processing

v. Experience in Fraud Management

Preferred Qualifications:

• SAS certifications (e.g., SAS Certified Advanced Programmer, SAS Data Scientist, etc.).
• Experience in financial services, healthcare, retail, or other data-driven industries.