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# Data Scientist

- **Company:** PINE AND PEAK STUDIO
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $160,000 - $200,000
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data Analysis, Microsoft Azure, BigQuery, Code Review, Computer Programming, Data as a Services, Information Engineering, Data Governance, Data Visualization, Decision Support Systems, Power BI, Software Engineering, SQL Databases, Tableau (Software), Information Technology, Graphite, Looker Analytics, Data Pipelines, Amazon Redshift
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-new-york-ny--f976f688-6607-419e-b5dd-84f15fd4bfc0

## About the Role

Data Science, Software Engineering, Carbon Fiber, Code Reviews, Facebook, Software Development, Data Science, Product Support, Data Analysis, Algorithms, Bachelor's or Master's degree in Computer Science, Data Science, or related field;

At least 4 years of experience in data engineering, with a focus on building scalable data pipelines and data models;

Strong programming skills in SQL;

Experience with cloud platforms such as AWS, GCP, or Azure, and their respective data services (e.g., S3, Redshift, BigQuery);

Experience with data visualization tools such as Tableau, Looker, or Power BI;

Strong problem-solving and analytical skills, with experience in statistical modeling;

Excellent communication skills and ability to work collaboratively with cross-functional teams; and Self-starter with the ability to work independently in a fast-paced startup environment.

## Description

Graphite is growing rapidly, and we're looking for a data scientist to support product direction and growth.

What you'll do

Analyze our data (10TB) and help us answer data-driven questions;

Design, develop and deploy data models, algorithms, and tools to support data analysis and visualization;

Build and maintain a scalable data pipeline that collects, processes and stores data from various sources, ensuring data accuracy, reliability, and availability. Currently we're based on DBT + Segment + Redshift;

Collaborate with software engineers, data scientists, and product managers to ensure data-driven decision making across the organization;

Perform exploratory data analysis and statistical modeling to identify insights and trends that drive product and business decisions;

Develop and implement data quality and data governance standards to ensure data accuracy and consistency;

Work with stakeholders to understand their data needs and translate them into technical requirements;

Stay up-to-date with the latest technologies, trends, and best practices in data engineering, data science, and analytics, and recommend new solutions and approaches that can benefit the company.