Delta System & Software, Inc.

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with IAT Level 3 Certification, offering a remote contract. Key skills include SQL, Python, ETL processes, cloud platforms (AWS, Azure, GCP), and data security. Experience in data engineering and cybersecurity is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 24, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#ML (Machine Learning) #Datasets #Data Modeling #GCP (Google Cloud Platform) #Security #Cloud #Data Security #Database Performance #Documentation #Data Engineering #Programming #Python #Data Architecture #"ETL (Extract #Transform #Load)" #Azure #Data Science #Data Pipeline #Compliance #Hadoop #Scala #Spark (Apache Spark) #Data Governance #Big Data #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Cybersecurity #SQL (Structured Query Language)
Role description
Job Title: Data Scientist /AI ML with IAT Level 3 Certification Remote Contract Job Description: • Design, build, and optimize scalable data pipelines and ETL processes across structured and unstructured datasets. • Implement secure data architectures ensuring compliance with CISSP security principles. • Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. • Manage data warehousing solutions, cloud-based platforms (AWS, Azure, GCP), and big data technologies (Spark, Hadoop). • Apply advanced SQL, Python, and other programming skills for data modeling, cleansing, and transformation. • Ensure end-to-end data security, encryption, and access control aligned with cybersecurity best practices. • Conduct vulnerability assessments, audits, and implement CISSP-driven security controls within data systems. • Monitor and optimize database performance, reliability, and scalability. • Provide documentation, standards, and training to maintain data governance and compliance. • Stay updated with emerging data engineering tools, cloud technologies, and cybersecurity frameworks.