Data Scientist (Only H4 EAD, L2S, GC & USC)

Job Title:

Data Scientist 8+ years

Location:

New Jersey

Employment Type:

Full-Time / W2

About the Role:

We are seeking a highly skilled and experienced Data Scientist to develop and implement advanced machine learning, statistical modeling, predictive analytics, and AI solutions that drive data-driven business decisions.

Key Responsibilities:

• Develop, train, validate, and deploy

machine learning models

for classification, regression, clustering, forecasting, recommendation, anomaly detection, and predictive analytics use cases.

• Perform

exploratory data analysis (EDA)

,

statistical analysis, data profiling, data preprocessing,

data cleansing,

and feature engineering to identify meaningful patterns and business insights.

• Build predictive models using

Python, Scikit-learn, Pandas, NumPy, XGBoost, LightGBM,

and other machine learning frameworks.

• Apply advanced

statistical modeling, hypothesis testing, regression analysis, probability, time-series analysis, correlation analysis,

and experimental design to solve complex business problems.

• Develop and optimize

Deep Learning models

using frameworks such as T

ensorFlow, PyTorch, Keras,

and related

AI/ML technologies

.

• Design and implement

Natural Language Processing (NLP)

solutions for text classification,

sentiment analysis, document processing, information extraction, text summarization,

and

semantic analysis.

• Work with

Generative AI, Large Language Models (LLMs), embeddings, vector databases,

prompt engineering,

Retrieval-Augmented Generation (RAG),

and AI-powered applications where applicable.

• Develop end-to-end

data science solutions,

from data collection and preprocessing through

model development, evaluation, deployment, monitoring,

and continuous improvement.

• Evaluate model performance using appropriate evaluation metrics, cross-validation, hyperparameter tuning, model selection, explainability, and statistical validation techniques.
• Implement

MLOps

practices model versioning, experiment tracking, deployment automation, model monitoring, drift detection, and lifecycle management.

• Work with cloud-based

AI/ML

platforms such as

Microsoft Azure, Azure Machine Learning, Azure Databricks, Azure Data Lake,

and

Azure Synapse Analytics.

• Develop scalable data processing and

machine learning

workflows using

Apache Spark, PySpark, Databricks,

and distributed computing technologies.

• Create dashboards, visualizations, and analytical reports using

Power BI, Tableau, Matplotlib, Seaborn,

or other visualization tools to communicate insights to business stakeholders.

Required Skills & Qualifications:

• 8+ years of experience in

Data Science, Machine Learning, Predictive Analytics, Statistical Modeling,

and Advanced Analytics.

• Strong programming expertise in

Python,

with hands-on experience using

Pandas, NumPy, Scikit-learn, SciPy, Matplotlib

, and

Seaborn.

• Extensive knowledge of

Machine Learning algorithms

, including

Linear/Logistic Regression,

Decision Trees, Random Forest, Gradient Boosting, XGBoost, LightGBM, SVM, K-Means, Clustering, PCA,

and

Ensemble Methods.

• Hands-on experience with Deep Learning frameworks such as

TensorFlow, PyTorch,

and

Keras, including neural networks

and model optimization.

• Experience with

Natural Language Processing (NLP),

including text classification, sentiment analysis, tokenization, embeddings, transformers, and language models.

• Strong understanding of

Generative AI, Large Language Models (LLMs), Prompt Engineering, RAG, Vector Databases, Embeddings,

and AI application development.