SPARK

Mode

Full-time · Remote

This role focuses on analyzing and optimizing revenue across Mode's portfolio of mobile apps and web products, covering subscriptions, ads, and partnerships. You'll design experiments, build forecasting models, and provide recommendations on pricing and packaging to drive business growth.

Listed on Mode’s careers site · Apply there ↗

Ibotta

Full-time · Denver, CO · $89,000 – $101,000 · Remote

Ibotta seeks an analyst to provide data-driven insights for marketing and partner strategy teams, using statistical modeling and experimentation to guide customer acquisition and retention decisions. The role combines technical analytics work with stakeholder collaboration, requiring proficiency in SQL, Python, and BI tools to uncover actionable patterns from consumer behavior.

Listed on Ibotta’s careers site · Apply there ↗

Postscript

Full-time · Remote · $175,000 – $205,000

Postscript is seeking a senior fullstack engineer to build and scale the data-intensive backend systems, APIs, and pipelines that power their AI-driven SMS marketing platform for e-commerce. This role emphasizes hands-on ownership of distributed systems, active use of AI coding tools as a core practice, and cross-functional collaboration in a fully remote environment.

Listed on Postscript’s careers site · Apply there ↗

Moody's Corporation

Full-time · King Of Prussia, PA · $132,600 – $192,300

Moody's is hiring a quantitative modeler to innovate credit analytics and predictive modeling approaches for their global Credit Center of Excellence. The role suits someone with strong statistical and machine learning foundations who can translate complex models into clear insights for business partners and senior leaders.

Listed on Moody's Corporation’s careers site · Apply there ↗

Citigroup

Full-time · Rutherford, NJ · $142,320 – $213,480

A senior Python engineer role at a financial services company focused on designing scalable applications for credit risk management, with exposure to LLM and AI-driven solutions. This suits experienced developers comfortable leading architectural decisions and mentoring others while working on complex financial data problems.

Listed on Citigroup’s careers site · Apply there ↗

Intuit

San Diego, CA · $188,500 – $274,000

A technical leadership role building data engineering platforms and pipelines at scale using cloud and big data technologies. This suits experienced data engineers who want to grow into staff-level responsibility while remaining hands-on, mentoring peers and shaping technology direction without people management.

Listed on Intuit’s careers site · Apply there ↗

Cohere Health

Full-time · United States · $175,000 – $195,000

Lead a data platform engineering team at a healthcare technology company, combining people management with hands-on technical oversight to deliver scalable data infrastructure. This role suits someone with deep data engineering expertise and a track record managing high-performing teams through complex, cross-functional initiatives.

Listed on Cohere Health’s careers site · Apply there ↗

Gofundme

Full-time · San Francisco, CA · $219,000 – $329,000

Lead GoFundMe's machine learning operations team, responsible for building reliable infrastructure and processes that keep ML and AI systems running safely at scale in production. This role suits experienced ML engineers who have managed teams and want to shape how an organization operationalizes machine learning across its platform.

Listed on Gofundme’s careers site · Apply there ↗

The New York Times Company

New York, NY · $124,000 – $135,000 · Remote

This role leads the design and implementation of enterprise data infrastructure for The New York Times, focusing on subscription and revenue analytics. It suits experienced data professionals who can architect scalable pipelines and mentor others while partnering across product and engineering teams.

Listed on The New York Times Company’s careers site · Apply there ↗

Genesys

Virtual Office (Tamil Nadu)

This is a leadership role overseeing data governance strategy and operations across cloud platforms like Snowflake and AWS. The person hired will manage a small technical team, establish governance policies and compliance frameworks, optimize platform costs, and embed data governance practices as a competitive advantage rather than a compliance burden across the organization.

Listed on Genesys’s careers site · Apply there ↗