Data Scientist

Systech Corp, Inc.
Bernards, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Bernards, United States of America

Tech stack

Artificial Intelligence
Data analysis
Computer Engineering
Data Governance
Data Visualization
Python
Machine Learning
Meta-Data Management
TensorFlow
Search Technologies
Software Engineering
SQL Databases
Data Streaming
PyTorch
Large Language Models
Model Validation
Generative AI
Scikit Learn
Information Technology
Data Analytics
Data Management
Data Pipelines

Job description

  • Lead the design, development, and deployment of advanced AI/ML models and algorithms to solve complex business problems
  • Develop and integrate the AI agents/solutions seamlessly with existing Contract Management Systems (CMS) and document repositories.
  • Lead the design and implementation of end-to-end Retrieval-Augmented Generation (RAG) pipelines to ground LLMs with up-to-date and authoritative external data.
  • Manage the entire data flow for RAG, including document chunking, metadata management, and generating high-quality vector embeddings using state-of-the-art embedding models.
  • Evaluate, select, and manage vector databases (e.g., Pinecone, Weaviate, Qdrant) and indexing techniques (e.g., HNSW) to ensure fast and accurate semantic search and retrieval.
  • Continuously iterate on the RAG components, including retrieval algorithms and prompt engineering strategies, to maximize the contextual relevance and quality of generated responses.
  • Provide technical leadership and mentorship to junior data scientists, fostering a culture of continuous learning and improvement
  • Drive the strategic planning and execution of data science projects, ensuring alignment with business goals and timelines
  • Collaborate with cross-functional teams, including engineering, legal, product management and business stakeholders, to define project requirements and deliver data-driven solutions
  • Develop and implement scalable data pipelines and workflows to support the end-to-end data science lifecycle
  • Evaluate and integrate new data science techniques, tools, and technologies to enhance the company's data capabilities
  • Communicate complex analytical concepts and results to non-technical stakeholders through clear and compelling data visualizations and presentations
  • Ensure the robustness, scalability, and performance of deployed models, monitoring their impact and iterating as necessary
  • Champion best practices in data science, including data governance, model validation, and ethical AI considerations
  • Identify and prioritize opportunities for leveraging data to drive business growth and operational efficiency
  • Pioneer peer reviews and foster a culture of continuous improvement and learning

Requirements

  • Bachelor''s Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) relevant to the essential functions of this job description AND a minimum of 5 years of relevant experience OR an equivalent combination of education and relevant experience
  • Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
  • Extensive experience using systems such as SQL, Python, or R
  • Strong expertise in machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
  • Proven hands-on experience in fine-tuning Large Language Models (LLMs) and deep understanding of their architectures (e.g., Transformers).
  • Strong experience designing and deploying RAG systems and building high-performance semantic search and retrieval pipelines.
  • Practical experience with vector embeddings and working with vector databases for production-grade applications.
  • Demonstrated expert knowledge in data analysis methods and tools
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Must be team-oriented, possess a positive attitude, and work well with others

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