Data Scientist - Philadelphia, PA

Hiring: Data Scientist - Philadelphia, PA

We are looking for an experienced Data Scientist with strong expertise in Machine Learning, Generative AI, LLMs, MLOps, Recommendation Systems, and Data Engineering to join a data-driven team.

Job Title: Data Scientist

Position Type: Long Term Contract

Location: Philadelphia, PA

Key Responsibilities:

We develop and optimize predictive and prescriptive models to extract insights and improve decision-making.

Clearly communicate complex methodologies, results, and business insights to both technical and non-technical audiences.

Apply deep learning and neural network techniques for customer classification, profiling, customer segmentation, and personalization!

Apply MLOps to efficiently deploy, monitor, and maintain ML models in production.

Implement and fine-tune Large Language Models (LLMs) and Generative AI solutions for automation and user engagement.

We explore and integrate knowledge graphs to enhance data relationships and improve recommendations.

We work with data engineers to craft and develop robust data pipelines for large-scale ETL processing using SQL and cloud-based solutions (Google Cloud Platform preferred).

Write complex SQL queries for extracting, transforming, and loading (ETL) data efficiently.

Implement CI/CD workflows to automate model training, deployment, and monitoring.

Work in an Agile/DevOps environment, collaborating with cross-functional teams to drive data-driven innovation.

We promote a data-centric culture by educating teams on the strategic importance of AI and analytics.

Your skills and experience

7-10 years of proven experience in Data Science, Machine Learning, or related fields.

Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn).

Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.

Proficiency in Google Cloud Platform (Google Cloud Platform), AWS, and scalable data engineering.

Strong understanding of probability theory, statistics, and experimental design (A/B Testing).

Experience with collaborative software engineering practices (Agile, DevOps).

Experience with Knowledge Graphs (including the Neo4j tool) and their integration into AI/ML pipelines.

Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.

Background in Retail and Personalization Web Technologies.

Proficiency in business intelligence (BI) tools and data visualization.

Recommendation models

Search: Information Retrieval, Semantic Search, LLM, ML Modelling, Candidate Ranking etc

Bachelor's degree or equivalent experience in Computer

Interested or open to new opportunities?
Please send your updated resume with contact details to

Thanks and Regards

Vikas Mahindrakar

New York Technology Partners
120 Wood Avenue S | Suite 504 | Iselin, NJ 08830