Data Scientist
- Agama Solutions Inc.
1 Days Ago
NA
W2
Pennington-NJ, Charlotte NC-NC, Plano-TX
7-10 Years
Required Skills: ML/NLP, GenAI Model Developer, Python
Job Description
Data Scientist (Gen AI)
Note:
- Please share only those profiles whose LinkedIn was created before 2021
Must Have:
- ML/NLP
- GenAI Model Developer
- NOT looking for Data Engineering profiles
Job Description:
- Design, build, and maintain document capture applications
- Utilize Machine Learning and NLP models to enhance application capabilities
- Work with Gen AI Models to develop innovative solutions
- Collaborate with inbound correspondence teams on development projects
Requirements:
- 7+ years of experience as a Data Scientist or in related roles
- Bachelor's degree in Computer Science or a related technical field
- Deep understanding and some exposure to new Gen AI Open-source Models
- At least 5 years of programming experience in software development and Agile processes
- At least 5 years of Python (or equivalent) programming experience to work with ML/NLP models
- Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization
- Experience in ML/NLP development pipelines of large data sets, both structured & unstructured
- At least 2 years of experience in designing and developing enterprise-scale ML/NLP solutions (e.g., Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing)
- Knowledge and hands-on experience working with OCR products
Desired skills:
- Master's degree in Computer Science/Data Science, or a related technical field
- Experience collaborating with a diverse set of partners and stakeholders from various Lines of Business
- Highly motivated, proactive and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight
- Critical thinker; ability to analyze problems, identify issues, and provide solutions
- Ability to navigate the enterprise & data assets across multiple functions
- Highly organized with the ability to effectively prioritize and balance multiple efforts in a fast-paced environment
- Excellent communication and presentation skills
- Strong analytical abilities and problem-solving skills
