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Data Scientist at Menlo Ventures

Menlo Ventures No longer available

Job Description

Location

New York City, New York

Employment Type

Full time

Location Type

On-site

Department

Engineering, product, & design

Graphite builds consumer-quality tools for modern software engineering teams, so they can ship faster and create amazing products.

Our product

Graphite is modern code review for fast-moving teams - we help engineers write and review smaller pull requests, stay unblocked, and ship faster.

Anyone can start using Graphite individually without needing their coworkers to change tools - we seamlessly sync code changes and reviews. We started Graphite because we missed internal code review tools like Phabricator (at Facebook) and Critique (Google) that help engineers create, approve, and ship small, incremental changes, and long-term we're passionate about creating products & workflows that help fast-moving eng teams achieve more.

Our company

We're a small-but-mighty team of 70+ based in Manhattan's Soho, now expanding with a new office in San Francisco. Our passionate and rapidly growing user base includes top engineering teams at companies like Datadog, Vercel, Ramp, and Snowflake.

We've raised a $52mil Series B (featured in TechCrunch) led by Christine Esserman, following a previous $20mil Series A from Peter Levine at Andreessen Horowitz (who led GitHub's Series A). Other investors include folks like Tom Preston-Werner (founder of GitHub), Sam Lambert (Planetscale CEO & ex-GitHub CTO), Sebastian Markbåge (creator of React), and many more.

Our culture centers on putting people first, applying science and craft, practicing disciplined ambition, and giving ownership - both literally (with equity) and in the responsibility and scope you'll have as a part of our early team. Outside of work you'll find us brewing espresso drinks, producing music, or practicing yoga. We can't wait to see what you'll add to the mix!

About the Role

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.

What we're looking for

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.

Life at Graphite

  • Competitive comp: ($160-200k base + substantial equity). We're backed by some of the best investors and excited to offer competitive compensation packages.

  • Role trajectory. We're excited to build a team whose responsibilities and comp to grow as we do.

  • Benefits. Top-tier health, dental, and vision coverage and 16 weeks paid parental leave.

  • Time to decompress. We ask that our team take 4 weeks of vacation a year to unplug and unwind.

  • Relocation expenses. We're an in-person, NYC/SF-based team, and we're happy to help with your relocation expenses!

  • The team that eats together. Company-paid lunch, snacks, and coffee during workdays.

  • Commuter perks. Ride around NYC on us!

As a team, we're very aware of the systemic structural issues that have created inequalities for many communities, especially in the tech industry. We recognize that women and underrepresented minorities are statistically less likely to apply for a role that they feel unqualified for. If you are interested in this role but you're concerned about not meeting all requirements, we encourage you to apply anyway - we'd love to get to know you and see if there's a place for you here at Graphite!

Typical mid-level pay: $113k for Data Scientists nationally

National salary averages
Expected mid-level
$113k
Entry
Mid
Senior
Expected
$64k Market range (10th-90th percentile) $194k

Top performers earn significantly more—skill and negotiation matter.

Senior roles pay 89% more than entry—experience is well rewarded.

Strong candidate leverage

High demand and responsive wages. Negotiate confidently on all fronts.

Hiring leverage
Candidate-favored
Wage leverage
Moderate
Mobility
Good mobility

Who this leverage applies to

Stronger for: All experience levels

Where to negotiate

Base salary
Sign-on bonus
Title / level
Remote flexibility
Scope & responsibility
Start date / PTO

Likely Possible Unlikely

Use competing offers and timing to your advantage.

Does this path compound?

Job Growth →
High churn
Growth, flat pay
🚀 Compound
Growth + pay upside
⚠️ Plateau
Limited growth
Specialize
Experts earn more
Pay Upside →
Growth + pay upside

Both the field and your earnings can grow significantly.

+34%
10yr growth
New positions are being created faster than they're being filled.
A bachelor's degree is typically expected.
Typical: Bachelor's degree

Good time to build expertise—demand will chase supply.

Labor data: BLS 2024