Data Scientist

Centraprise; Troy (MI); On-site; USD 85,000 - 120,000; Full time

Job summary

A leading tech company in Troy is seeking an experienced data science professional to leverage expertise in machine learning, AI, and NLP in developing innovative solutions. This role requires strong proficiency in Python and experience with data science tools and libraries. The ideal candidate has a relevant degree and is familiar with cloud platforms for deploying models and utilizing AI services. Join us to be part of transformative projects in a collaborative work environment.

Qualifications

• Professional experience in data science, machine learning, and AI, with specific experience in NLP.
• Strong proficiency in Python, experience in data science libraries like NumPy, Pandas, and Scikit-learn.
• Hands-on experience with major cloud computing services for model deployment.

Skills

Data science

Machine learning

Natural Language Processing

Python

SQL

Deep learning

Cloud services

Education

Bachelors or masters degree in a quantitative field

Tools

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

LangChain

LlamaIndex

Azure OpenAI

Google Vertex AI

AWS Bedrock

Job description

Experience: professional experience in data science, machine learning, and AI, with specific experience in NLP, LLMs, and GenAI applications.

• Education: Bachelors or masters degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
• Programming Languages: Strong proficiency in Python is mandatory, with experience in data science libraries like NumPy, Pandas, and Scikit-learn. Knowledge of SQL is also essential for data extraction and manipulation.
• AI/ML Frameworks: Expertise deep learning frameworks such as PyTorch and TensorFlow. Familiarity with Hugging Face transformers, NLTK, or SpaCy is also common.
• Experience with LLM frameworks like LangChain and LlamaIndex.
• Proficiency in NLP techniques include embeddings, topic modeling, text classification, semantic search, and summarization.
• Cloud Platforms: Hands-on experience with major cloud computing services (AWS, Azure, GCP) for model deployment and leveraging services like Azure OpenAI, Google Vertex AI, or AWS Bedrock.