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# Data Scientist

- **Company:** SCHILLINGER & FINSTERWALD, LLP
- **Location:** New York, NY, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Training Data, A/B Testing, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Computer Programming, Databases, Information Engineering, Data Files, Extract Transform Load (ETL), Data Visualization, Apache Hadoop, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, SciPy, SQL Databases, Data Storage Technologies, Pytorch, Apache Spark, Deep Learning, Pandas, Scikit Learn, Data Management, Data Pipelines, Databricks
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-ny--0cce9701-eda7-4987-8534-2165b23d280f

## About the Role

Data Science, Training Data Sets, Predictive Modeling, Analysis Skills, Data Science, Business Support, Machine Learning, Data Sets, Database Extract Transform and Load (ETL), Data Management, * 1+ year of experience as a Data Scientist or in a similar role.

 * Strong programming skills in Python or R, with experience in pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch.
 * Proficiency in SQL and working with large databases.
 * Experience with statistical modeling, hypothesis testing, and A/B testing.
 * Knowledge of cloud platforms (AWS, GCP, or Azure) for data storage and processing.
 * Excellent problem-solving skills and the ability to explain complex technical concepts to non-technical stakeholders., * Experience with big data technologies (Spark, Hadoop, Databricks).
 * Familiarity with natural language processing (NLP) or deep learning techniques.
 * Strong background in data engineering and automating data workflows.

## Description

We are looking for a highly skilled and analytical Data Scientist to join our team. You will be responsible for developing predictive models, analyzing large datasets, and providing data-driven insights to support business decisions. The ideal candidate has experience in machine learning, statistical modeling, and data visualization. This is a fully remote position, but applicants must be based in the U.S., * Develop and implement machine learning models and predictive analytics solutions.

 * Analyze large and complex datasets to extract meaningful insights.
 * Design, build, and optimize data pipelines and ETL processes.
 * Communicate findings through data visualizations, reports, and presentations.
 * Work with cross-functional teams to identify and solve business challenges using data science.
 * Ensure data quality, integrity, and security while working with sensitive information.