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# Data Scientist

- **Company:** Wise Equation Solutions
- **Location:** Newark, NJ, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cluster Analysis, Information Engineering, Data Visualization, Distributed Computing Environment, Distributed Systems, Apache Hadoop, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Power BI, Tensorflow, Tableau (Software), Google Cloud, Pytorch, Apache Spark, Deep Learning, Matplotlib, Build Management, Scikit Learn, Information Technology, Xgboost, Apache Kafka, Machine Learning Operations, Data Pipelines
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/0d908d34-864c-433d-a055-d85b501168e1

## About the Role

We are looking for a skilled Data Scientist to join our team. You will work on large-scale datasets, build and deploy predictive models, and contribute to data engineering activities. The ideal candidate has a strong foundation in mathematics and statistics, hands-on experience with distributed computing, and the ability to communicate insights to non-technical stakeholders.

Must-Have Requirements

 * 3-5+ years of experience as a Data Scientist or similar role
 * Strong hands-on experience with Apache Spark and/or Hadoop for large-scale data processing
 * Proficiency in Python and/or R for data science and ML development
 * Experience building and deploying predictive models (regression, classification, clustering, time-series)
 * Solid understanding of statistics and mathematics (linear algebra, probability, hypothesis testing)
 * Experience with ML frameworks - Scikit-learn, XGBoost, TensorFlow, or PyTorch
 * Experience building/maintaining data pipelines (Airflow, Kafka, dbt, or similar)
 * Ability to explain model behavior and results to non-technical audiences

Nice-to-Have Skills

 * Experience with cloud platforms - AWS, Azure, or Google Cloud Platform
 * Familiarity with MLflow or similar model lifecycle management tools
 * Experience with Scala for Spark development
 * Data visualization tools - Tableau, Power BI, or Matplotlib/Seaborn
 * Exposure to NLP or deep learning use cases

Education

 * Bachelor''s degree in Computer Science, Statistics, Mathematics, or related field (required)
 * Master''s or PhD preferred

## Description

* Process and analyze large datasets using Hadoop/Spark distributed computing frameworks
 * Design, build, and validate machine learning models to solve business problems
 * Translate complex model outputs into actionable insights for business stakeholders
 * Build and maintain scalable data pipelines to support ML workflows
 * Collaborate with data engineers, analysts, and business teams
 * Monitor and improve model performance post-deployment


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