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# Senior Data Scientist

- **Company:** Advanced Technology Search
- **Location:** Holtsville, NY, United States
- **Experience:** Expert
- **Salary:** $145,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cluster Analysis, Continuous Integration, Information Engineering, Distributed Computing Environment, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Standard Sql, Unstructured Data, Google Cloud, Enterprise Software Applications, Feature Engineering, Model Validation, Generative AI, Spark Mllib, Pyspark, Scikit Learn, Information Technology, Machine Learning Operations, Databricks
- **Published:** July 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4a675a521f09d4a7

## About the Role

* Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related discipline.
 * 5+ years of professional experience developing machine learning solutions in production environments.
 * Strong experience with Python and PySpark.
 * Hands-on experience with Azure Databricks or similar large-scale distributed data processing platforms.
 * Experience building and deploying end-to-end machine learning solutions.
 * Strong understanding of statistical modelling, regression, classification, clustering, and predictive analytics.
 * Experience with time-series forecasting is highly desirable.
 * Familiarity with TensorFlow, scikit-learn, MLflow, Spark MLlib, or similar machine learning frameworks.
 * Experience working with cloud platforms such as Azure, AWS, or Google Cloud Platform.
 * Strong SQL and data engineering skills.
 * Excellent communication skills with the ability to explain technical concepts to business stakeholders.

Preferred Experience

 * Experience with Natural Language Processing (NLP) or Generative AI.
 * Experience supporting production MLOps environments, CI/CD, and model monitoring.
 * Background working with large-scale enterprise or IoT datasets.
 * Experience collaborating across Engineering, Product Management, and Analytics teams.

## Description

* Design, develop, and deploy machine learning models for predictive analytics, classification, regression, clustering, and forecasting applications.
 * Build scalable machine learning pipelines using Python, PySpark, and cloud-based technologies.
 * Perform feature engineering, model evaluation, and optimization using structured and unstructured data.
 * Develop production-ready AI and machine learning solutions that integrate with enterprise software platforms.
 * Partner with Product Management, Engineering, and business stakeholders to translate business challenges into data-driven solutions.
 * Analyze large datasets to identify trends, patterns, and opportunities that improve operational performance and customer outcomes.
 * Develop dashboards, visualizations, and analytical tools that communicate insights to technical and non-technical audiences.
 * Evaluate emerging machine learning and AI technologies and recommend improvements to existing solutions.
 * Support production model monitoring, performance measurement, and continuous model improvement.
 * Mentor junior team members and contribute to a collaborative, innovation-driven environment.


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