Job Specifications
Data Scientist (ML & AI Modeling) – (Focus - ML)
Ideally, has a PhD (must have master's at a minimum)
Any Status
Hybrid: 3-days/week onsite
Position will run thru Fiscal Year End (April 2026) w/ a possible extension
ONE 60-minute MS Teams interview
Need one photo ID, please
Responsibilities:
As a data scientist, you will use expertise in modeling, data engineering, and building applications with LLMs. Your responsibilities will span a wide range of data science activities, such as those listed below:
Collaborate with users to deliver big data and machine learning models and AI/LLM solutions.
Use AI/ML to empower business with novel capabilities such as automating workflows by utilizing
machine learning and LLM systems.
Research and analyze complex data sets, combine different sources and types of data to develop
machine learning and deep learning models making value out of data.
Design and implement efficient, adaptable, scalable, and reliable pipelines and algorithms to process
unstructured and structured data.
Implement new statistical or other mathematical methodologies as needed for specific models or
analysis.
Leverage or build cloud-based technologies and solutions to deliver optimized ML models at scale.
Prototype solutions and conduct experiments highlighting results and lessons learned.
Provide technical expertise and guidance to users on AI/ML and LLM best practices.
Help the users evaluate the AI/ML solution from a technical perspective.
Leverage industry knowledge and stay close to latest technology trends
Contribute to the development of sample applications, tutorials, presentations and training material for
big data and machine learning technologies.
Qualifications:
Master's or Ph.D. in Computer Science, Data Science, or related field, plus a minimum of four years of
relevant professional experience or a master degree.
A strong background in machine learning algorithms, natural language processing and LLMs.
Proficiency in programming languages, including SQL, R, Python, Java, and MATLAB.
Demonstrated work experience with prompt engineering, retrieval augmented generation
architectures and LangChain/LangGraph or similar tools and frameworks.
Demonstrated work experience with extract, transform, and load (ETL) for large‐scale, complex
data sets.
Demonstrated work experience with structured/unstructured data and parallel/distributed
computation (PySpark).
Knowledge of cloud technologies and services (Microsoft Azure, AWS, etc.).
Knowledge of network configuration, information risk and security guidelines.
Knowledge of version control systems, software configuration management and source code
lifecycle management tools.
Knowledge of data architecture and application architecture, target state design and strategy.
Ability to research and identify innovative approaches for data acquisition, as well as new uses for
existing datasets.
Ability to effectively leverage knowledge, skills, tools, and techniques in managing complex
programs and projects, ensuring alignment with defined business, technical, and security
requirements.
Ability to research, design, develop, implement and manage applications based on specific
business needs
About the Company
At Santcore Technologies, we empower businesses to secure, modernize, and scale with confidence. Our core expertise spans cybersecurity, cloud transformation, CRM integration, corporate training, digital experience design, and IT talent solutions--delivered with a focus on quality, agility, and measurable impact. Whether you're strengthening your security posture, automating workflows, enhancing user engagement, or building high-performing teams, our seasoned professionals bring deep technical knowledge and a commitment to c...
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