Data Scientist: Drive Product Growth with Scalable Data

Graphite; New York (NY); On-site; USD 160,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation packages

Top-tier health, dental, and vision coverage

16 weeks paid parental leave

4 weeks vacation per year

Company-paid lunch, snacks, and coffee

Commuter perks in NYC

Support with relocation expenses

Job summary

A data-driven tech company in New York is seeking a data scientist to support product direction and growth. You will analyze large datasets, design data models, and maintain scalable data pipelines. The ideal candidate has a degree in Computer Science or a related field, with at least 4 years of experience in data engineering. Competitive compensation ranges from $160k to $200k base plus equity, with comprehensive health benefits and a supportive work culture.

Qualifications

• At least 4 years of experience in data engineering, focusing on building scalable data pipelines.
• Experience with cloud platforms and their respective data services.
• Experience in statistical modeling and exploratory data analysis.

Responsibilities

• Analyze data and answer data-driven questions.
• Design and develop data models and tools for analysis.
• Maintain a scalable data pipeline ensuring data accuracy and availability.
• Collaborate with teams for data-driven decision making.
• Implement data quality and governance standards.

Skills

Strong programming skills in SQL

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

Strong problem-solving and analytical skills

Ability to work independently in a fast-paced startup environment

Excellent communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Tools

AWS data services (e.g., S3, Redshift)

GCP data services (e.g., BigQuery)

DBT

Segment

Redshift

Job description

A data-driven tech company in New York is seeking a data scientist to support product direction and growth. You will analyze large datasets, design data models, and maintain scalable data pipelines. The ideal candidate has a degree in Computer Science or a related field, with at least 4 years of experience in data engineering. Competitive compensation ranges from $160k to $200k base plus equity, with comprehensive health benefits and a supportive work culture.