- Company Name
- Lorven Technologies Inc.
- Job Title
- Data Scientist - Stamford, CT/Hartford, CT/NYC,NY/ Morristown, NJ (Hybrid)
- Job Description
-
**Job Title**
Data Scientist
**Role Summary**
Develop and deploy robust, efficient, and scalable AI/ML models to extract actionable insights from unstructured data sources such as PDFs, Word documents, and Excel files. Design and implement processing logic that transforms raw data into meaningful outputs supporting user decision‑making, while working in an agile, collaborative environment.
**Expectations**
- Minimum 10 years of professional experience in data science or related fields.
- Bachelor’s degree in Computer Science or a related discipline; Master’s preferred.
- Proven ability to deliver end‑to‑end AI solutions in fast‑paced, agile teams.
**Key Responsibilities**
- Design, build, and optimize AI/ML models for unstructured data extraction and analysis.
- Develop data pipelines and processing logic for PDF, Word, and Excel content.
- Generate structured outputs and visualizations to aid business decisions.
- Collaborate with cross‑functional teams (engineers, analysts, product owners) to define requirements and deliver solutions.
- Maintain code quality, version control, and documentation; ensure models are scalable and performant.
- Participate in agile ceremonies (sprint planning, stand‑ups, retrospectives) and contribute to continuous improvement.
**Required Skills**
- Advanced Python programming, including libraries for ML/DL (e.g., TensorFlow, PyTorch, scikit‑learn).
- Experience with large language models (LLMs) and prompt engineering.
- Strong foundation in machine‑learning algorithms, statistical modeling, and evaluation metrics.
- Proficient in data structures, algorithms, and efficient data manipulation.
- Expertise in processing unstructured formats (PDF, DOCX, XLSX) using appropriate tools/APIs.
- Familiarity with agile methodologies and collaborative tools (Jira, Confluence, Git).
- Excellent problem‑solving and communication skills.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s degree preferred).
- Relevant certifications (e.g., AWS Certified Machine Learning, Google Professional ML Engineer, Microsoft Azure AI) are a plus but not mandatory.