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# Senior Data Scientist, Long Island City, New York

- **Company:** REMOTE HAND
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Cluster Analysis, Information Engineering, Data Visualization, Programming Tools, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Google Cloud, Git, Data Analytics, Data Management, Data Pipelines
- **Published:** June 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/remotehunter-senior-data-scientist-long-island-city-new-york-oxa9waxl4l

## About the Role

* Experience building data models and pipelines for large datasets.

 * Proficiency with complex algorithms and analytics methodologies across multiple platforms, including Google Cloud Platform.

 * Strong skills in SQL and Python.

 * Knowledge of core analytical and statistical methods, such as regression, clustering, predictive modeling, time-series analysis, and machine learning.

 * Experience with visualization tools like Tableau and Power BI.

 * Ability to collaborate with business functions to deliver decision-support solutions.

 * Skills in data analysis to identify deliverables, gaps, and inconsistencies.

 * Competence in data management and data modeling.

 * Familiarity with version control using Git and development tools including PyCharm and VS Code.

## Description

The Senior Data Scientist role is designed to develop and implement advanced data science models and machine learning solutions that address key business challenges. This position contributes by translating large and complex data into actionable insights and scalable analytics tools, directly impacting business functions and enabling data-driven decisions.

 3. Responsibilities:

 * Design, develop, and implement advanced data science models and machine learning solutions.

 * Apply advanced techniques to large datasets and collaborate with cross-functional teams.

 * Execute advanced analytics using scalable and reusable codebases.

 * Generate and test hypotheses aligned with priority business use cases.

 * Ensure compliance with analytics standards and tailor methodologies to specific needs.

 * Define data requirements, evaluate data quality, and extract/manipulate data in big data environments.

 * Create interactive visualizations and presentations to support decision-making.

 * Collaborate with Data Engineering to implement data pipelines and tools.

 * Identify and remediate data issues promptly.


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