Data Scientist

TechDigital Group; New York (NY); On-site; USD 100,000 - 160,000; Full time

Job summary

An established industry player is seeking a seasoned data scientist with over a decade of experience in designing and implementing complex Machine Learning and Artificial Intelligence models. This role involves solving intricate business problems using advanced analytical and Big Data tools. You will work independently and collaborate closely with research teams and vendors to analyze and define problem statements, ensuring the successful delivery of various products. If you are passionate about leveraging AI to drive innovation and have a strong background in data science, this opportunity is perfect for you.

Qualifications

• 10+ years of experience in AI/ML model design and implementation.
• PhD or Master's degree in relevant fields required.

Responsibilities

• Design and implement complex AI/ML models for business solutions.
• Collaborate with research teams and vendors to define problem statements.

Skills

Machine Learning

Artificial Intelligence

Data Analysis

Communication Skills

Problem Solving

Education

PhD in Mathematics

Master's in Data Science

Master's in Computer Science

Tools

Python

R

Spark

TensorFlow

Snowflake

Databricks

Job description

Looking for a data scientist to help with designing and implementing complex Machine Learning and Artificial Intelligence models and solving business problems using various Analytical and Big Data tools.

The role will require the candidate to work independently with Research business and vendors on analyzing and defining problem statements, and work closely with development teams on designing and implementing the solution and managing the delivery of various products.

10+ years of experience in designing and implementing AI/ML models in the following areas:

1. Supervised & Unsupervised Learning-Deep Learning (CNN, RNN, LSTM, Transformers)
2. Prompting, HybridRAG, Chunking/Embedding, and Fine Tuning experience with OpenAI models and open source LLMs-Natural Language Processing (Sentiment Analysis, Embeddings, Summarization, Chatbot etc.)
3. Entity identification/extraction and knowledge discovery from structured and unstructured content
4. Expert in Python, R, Spark, TensorFlow, Snowflake, Databricks and other machine learning / LLM tools
5. Familiar with noSQL and vector databases
6. Experience in CPU/GPU cloud environments
7. Excellent communication skills and basic knowledge in finance
8. PhD or Master's degree in Mathematics, Statistics, Data Science, Computer Science, or other related fields