Data Scientist

Comprehensive Resources Inc.
Woodlawn, 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

Woodlawn, United States of America

Tech stack

HTML
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Cloud Computing
Cloud Engineering
Cloudera Impala
Nvidia CUDA
Information Engineering
Data Systems
IBM DB2
Relational Databases
Markup Languages
Hadoop
Hive
Information Sciences
Python
Latex
PostgreSQL
Machine Learning
Mathematica
Microsoft SQL Server
MySQL
NLTK
NumPy
Oracle Applications
Regular Expressions
TensorFlow
Standard Sql
Azure
Search Technologies
SQLite
SQL Databases
Transaction Data
PyTorch
Large Language Models
Spark
Parallel Computation
Generative AI
GIT
Pandas
Matplotlib
Build Management
Scikit Learn
Information Technology
Machine Learning Operations
Spacy

Job description

We need a hands-on Senior Data Scientist with deep NLP and LLM/Generative AI experience to build and deploy automated data solutions, train and optimize NLP/LLM models, and support complex analytic work using Python, SQL, and cloud-native (AWS) tooling., * Develop, test, and deploy NLP understanding techniques

  • Scalable ML/GenAI (LLM) development and deployment
  • Train/optimize NLP/LLM models; build Python-based pipelines
  • Build cloud-native solutions on AWS
  • Analyze trends and transactional data via SQL
  • Translate real-world/analytic problems into data solutions and recommendations
  • Collaborate with data collectors/analysts to close monitoring gaps
  • Deliver accurate, timely, sophisticated data analysis

Requirements

Clearance: Must be able to obtain and maintain Public Trust clearance.

Candidate should be able to go for a f2f interview, * Strong NLP experience: Python, NLP frameworks, SQL, Pandas, NLTK, spaCy

  • Generative AI / LLM experience
  • Excellent written and verbal communication skills, * Bachelor's in Statistics, Applied Math, Computer Science, or Information Science (or equivalent industry experience)
  • 10+ years overall IT industry experience
  • Fluency in Python, Git, standard packages (Pandas, NumPy, Matplotlib), and ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • AWS EC2 experience; Azure ML a plus
  • Experience with Spark/Airflow or similar data engineering/orchestration frameworks, and/or semantic search
  • Expert-level statistical/ML modeling (supervised and unsupervised)
  • MLOps/LLMOps and model deployment experience
  • GenAI/NLP libraries (regex, spaCy, LangChain), text annotation tools, semantic frameworks
  • Experience with DB2, Oracle, SQL Server, Hadoop, flat files, and RDBMS (PostgreSQL, MySQL, SQLite)
  • Strong self-starter, able to work independently
  • Strong analytical, problem-solving, and cross-functional collaboration skills, including communicating with executive leadership
  • Prior federal/state government IT project experience strongly preferred

Nice to Have :-

  • Hadoop ecosystem (Spark, Impala, Hive)
  • Analytical research environment experience
  • GPU/CUDA parallel processing
  • Mathematica
  • LaTeX/HTML or other markup languages
  • NLP for anomaly detection

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