Data Scientist at Graphite

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Software EngineeringIndustries

Requirements

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
Self-starter with the ability to work independently in a fast-paced startup environment

Responsibilities

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 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

Skills

Key technologies and capabilities for this role

Data AnalysisSQLPythonStatisticsData VisualizationETLBig Data

Questions & Answers

Common questions about this position

Is this Data Scientist role remote or onsite?

The role is onsite.

What is the salary or compensation for this Data Scientist position?

This information is not specified in the job description.

What key responsibilities will the Data Scientist handle?

The role involves analyzing 10TB of data, designing data models and algorithms, building scalable data pipelines using DBT + Segment + Redshift, performing exploratory analysis, and collaborating with engineers and product managers.

What is Graphite's company culture like?

The culture centers on putting people first, applying science and craft, practicing disciplined ambition, and giving ownership with equity. The small-but-mighty team of 70+ is based in Soho with a new SF office, and team members enjoy brewing espresso, producing music, or practicing yoga outside work.

What makes a strong candidate for this Data Scientist role?

Strong candidates should have experience analyzing large datasets like 10TB, building data pipelines with tools like DBT, Segment, and Redshift, performing statistical modeling, and collaborating across engineering, data science, and product teams.

Graphite

Monitors and visualizes time-series data

About Graphite

Graphite is a software tool that focuses on monitoring and visualizing time-series data, which consists of data points collected at specific intervals. It was initially developed in 2006 and became open-source in 2008, allowing it to be widely adopted by large companies. Graphite's main function is to help businesses store, retrieve, share, and visualize their time-series data, but it does not collect data itself. Instead, it allows users to input metrics into its database, making it essential for monitoring performance metrics like application performance and database request times. Unlike many competitors, Graphite operates on both low-cost hardware and cloud infrastructure, making it accessible for various clients, including e-commerce platforms and software development communities. The company generates revenue through support services, custom development, and consulting, ensuring that businesses can maximize the use of the tool while contributing to its ongoing development.

San Francisco, CaliforniaHeadquarters

2006Year Founded

VENTURE_UNKNOWNCompany Stage

Consulting, Enterprise SoftwareIndustries

1-10Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Parental Leave

Paid Vacation

Relocation Assistance

Meal Benefits

Commuter Benefits

401(k) Retirement Plan

Risks

Competition from Prometheus and Grafana with advanced features threatens Graphite.

Security vulnerabilities in open-source software pose risks if not regularly updated.

Shift towards all-in-one solutions may reduce Graphite's market appeal.

Differentiation

Graphite excels in visualizing time-series data for enterprise-level monitoring needs.

It operates efficiently on both low-cost hardware and cloud infrastructure.

Graphite's open-source model allows for cost-effective customization and integration.

Upsides

Rising demand for cloud-native tools boosts Graphite's integration capabilities.

DevOps practices increase the need for real-time monitoring, benefiting Graphite.

Open-source popularity enhances Graphite's appeal for cost-effective enterprise solutions.

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