Data Scientist

Lightning AI•New York, NY

9d•$160,000 - $245,000•Hybrid

About The Position

We are looking for a Data Scientist to drive informed decision-making across the company as we become the first fully-integrated neocloud for AI training. This individual will work closely with Product, Engineering, 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 VP of Product. This is a hybrid role based in either New York City, NY with in-office requirements of 2 days per week.

Requirements

5+ years in a Data Science or Product Analyst role
Proficient using SQL to query large databases
Strong skills using Python to write scripts and run statistical analysis
Hands-on experience with BI tools (Looker or similar) and cloud data infrastructure — AWS (e.g. S3, EFS) and/or GCP (e.g. BigQuery, Looker Studio)
A strong bias for action, and the ability to make clear decisions and recommendations in the presence of uncertainty

Nice To Haves

Experience on a growing data team at a startup, preferred
Experience designing and building foundational data models from scratch, preferred

Responsibilities

Partner with Product, Sales, and Engineering to define questions that matter and identify product features and behaviors that drive business outcomes
Analyze small business and enterprise usage patterns to sharpen Ideal Customer Profiles and guide Sales prospecting priorities
Quantify the health of our data center business and test the impact of systematic sales, service, and operations improvements
Work with engineering to design, build, and maintain data pipelines that support timely and accurate analyses
Write SQL (and occasional scripts) to explore data, automate recurring workflows, and answer ad-hoc questions
Design Looker and Data Studio dashboards and reports that make findings easy for stakeholders to act on
Monitor trends and surface opportunities or risks early, before they show up in routine reporting
Help grow a data-driven culture by sharing practices and enabling teams to use analytics tools on their own

Benefits

Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.
Meaningful Equity: RSUs that give employees a stake in the company's long-term success.
Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).
Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.
Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.
Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments.
Professional Development: Annual learning and development allowance to support your professional growth.
Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.
Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.
Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.
In-Office Meals: Complimentary meals at our office hubs.