DATA SCIENTIST

TBWA\Chiat\Day; New York (NY); Hybrid; USD 115,000 - 180,000; Full time

Job summary

A leading company in AI development is seeking a Product Analytics Engineer to unlock insights from product and sales data. This hybrid role in New York City involves building data pipelines, analyzing usage patterns, and collaborating with teams to drive data-driven decisions. The position offers competitive salary and comprehensive benefits, fostering a diverse and inclusive workplace.

Benefits

Medical, dental and vision

Flexible paid time off

Generous paid family leave

Meal reimbursement

Home office stipend

Learning & development stipend

Citibike membership

Qualifications

• 2-4+ years in a data engineering and/or data science role.
• Strong SQL skills with experience querying large databases.
• Experience with cloud-based data infrastructure.

Responsibilities

• Build and optimize data pipelines for analysis.
• Analyze product usage data to inform strategies.
• Create dashboards and visualizations for stakeholders.

Skills

SQL

Data Analysis

Data Engineering

Data Science

Cloud Infrastructure

Tools

Looker

AWS

GCP

Job description

Lightning AI is the company reimagining the way AI is built. After creating and releasing PyTorch Lightning in 2019, Lightning AI was launched to reshape the development of artificial intelligence products for commercial and academic use.

We are on a mission to simplify AI development, making it accessible to everyonefrom solo researchers to large enterprises. By removing the complexity of building and deploying AI tools, we empower innovators to focus on solving real-world problems. Our platform is built to scale with the latest AI advancements while staying intuitive and adaptable, so you can bring your ideas to life.

We have offices in New York City, Palo Alto, and London and are backed by investors such as Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

Our Values Move Fast : We act with speed and precision, breaking down big challenges into achievable steps.

Focus : We complete one goal at a time with care, collaborating as a team to deliver features with precision.

Balance : Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.

Craftsmanship : Innovation through excellence. Every detail matters, and we take pride in mastering our craft.

Minimal : Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.

What Were Looking For We are looking for a Product Analytics Engineer to unlock actionable insights from our product and sales data, driving informed decision-making across the company. This individual will work closely with Product and Sales leadership, answering key questions about product usage, proactively surfacing trends, and supporting our growth in a data-driven way.

You will join the Product Team and report to our Chief Product Officer. This is a hybrid role based in either New York City, NY or San Francisco Bay Area with in-office requirements of 2 days per week. The salary range for this role is $115,000-$180,000.

What Youll Do Build and optimize data pipelines to efficiently ingest, transform, and store large datasets for analysis.

Analyze product usage data to generate actionable insights that inform product development and sales strategies.

Analyze enterprise product usage patterns to extract actionable insights that inform prospecting and ICP development.

Answer strategic questions, such as How many of our customers are using X product and what do they look like to find more of them?

Create dashboards, reports, and visualizations in tools like Looker to communicate findings effectively to stakeholders.

Write SQL queries to extract and analyze data from our databases, occasionally writing scripts or code to automate workflows.

Collaborate with Product, Sales, and other teams to identify key metrics and establish data-driven processes.

Proactively surface insights and trends, alerting stakeholders to opportunities for growth or areas for improvement.

Contribute to the development of a data-driven culture by sharing best practices and enabling teams to leverage analytics tools.

What Youll Need 2-4+ years in a data engineering and / or data science role

Proactive and resourceful, comfortable as the first data hire, with the ability to independently design and build foundational data pipelines from the ground up.

Ownership attitude with experience either directly making decisions or partnering with engineering teams to make good decisions based on the scale of the business

Strong SQL skills with experience querying large databases. Familiarity with Looker or similar BI tools is required. Basic coding skills for scripting and automation are a plus.

Ability to interpret complex datasets, identify patterns, and distill findings into actionable insights.

Strong ability to convey data-driven insights to both technical and non-technical audiences.

Proven track record of working cross-functionally with Product, Sales, or Operations teams.

Comfortable identifying opportunities for analysis without being prompted and driving initiatives forward independently.

Experience with cloud-based data infrastructure, such as AWS (EFS, S3), GCP (BigQuery, Looker Studio)

Benefits and Perks We offer competitive base salaries and stock options with a 25% one year cliff and monthly vesting thereafter. For our international employees, we work with Velocity Global to pay you in your local currency and provide equitable benefits across the globe.

In the US, we offer :

Medical, dental and vision

Life and AD&D insurance

Flexible paid time off plus 1 week of winter closure

Generous paid family leave benefits

500 monthly meal reimbursement, including groceries & food delivery services

500 one time home office stipend

1,000 annual learning & development stipend

100% Citibike membership (NYC only)

Additional various medical and mental health services

At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

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