Senior Data Scientist

Button Commerce

7h•$160,000 - $208,000•Hybrid

About The Position

We are a deeply data driven company. Machine learning is not a side function here. It powers recommendation, ranking, routing, monetization, experimentation, and product strategy. As a Senior Data Scientist, you will play a critical role in shaping how intelligence is embedded into our products and decision making. You will operate at the intersection of Product, Engineering, and GTM, translating complex data into clear strategy and production systems. This is not a research only role. It is a product facing, impact driven position where you own outcomes end to end.

Requirements

Strong product instincts and comfort operating in ambiguity
Ability to independently scope problems and drive solutions
Clear communicator who can explain technical tradeoffs to non technical partners
Highly effective written communication and presentation skills
A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
Ability to thrive in ambiguous, fast-moving environments where you must create clarity, drive forward progress, and pivot when necessary
Strong grasp of model lifecycle management (real-time performance tracking, data drift monitoring, retrain intervals)
Bias toward shipping and measurable impact
Collaborative mindset across Product, Engineering, and GTM teams
5+ years applying statistics or machine learning in production environments
Deep understanding of experimentation, causal inference, and Bayesian or frequentist methods
3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy
Strong Python skills
Strong SQL proficiency and proven track record working with large scale datasets
Experience with AWS, distributed systems, and high volume data pipelines
Experience deploying and maintaining models in production
Solid foundation in linear algebra, optimization, and model evaluation
Experience with AI/ML operations & tooling: understanding of API rate limiting, inference workload patterns, accelerator management

Nice To Haves

Experience in marketplaces, ads tech, retail media, or growth optimization
Strong instincts for what drives product adoption, engagement, and retention
Familiarity with both B2C and B2B marketing analytics, and a holistic view of how different product verticals support one another
Experience with ranking, pricing, or allocation problems
Familiarity with feature stores, model monitoring, or ML platforms
Experience with MLFlow (or similar tools), Sagemaker, Vector Databases (Pinecone, Faiss, Amazon MemoryDB), SparkML, Docker, Experimentation Platforms (Statsig, Eppo by Datadog)

Responsibilities

Design, test, and iterate on machine learning models that power recommendation, ranking, routing, and monetization
Own A/B testing strategy and causal measurement for product features and partner performance
Partner with engineers to productionize models and integrate them into live systems
Build analyses, dashboards, and tools that inform product strategy and customer outcomes
Define metrics and success criteria for new initiatives
Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations
Help establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow leveraging our existing technical stack
Raise the bar for statistical rigor and experimentation across the company

Benefits

Button provides employees with a RemotePlus workplace, which blends “work from anywhere” with in-person collaboration.
Button has a “hub” workspace in New York City as well as team members distributed across the United States and beyond.
Button’s total compensation package includes a base salary competitive with what is offered by similar companies in major US markets.
The on-target earnings range for this role is expected to be between $160,000 - $208,000 (offered salary is based on a number of factors including skills and experience relative to the job description listed above).
In addition, Button provides employees with a 401(k) plan and automatically contributes 3% of an employee’s salary annually.
We also want our employees to be well-rested and live balanced lives–Buttonians enjoy unlimited time off (including birthdays off) and periodic Mental Health Weeks which allow the entire company to take a breath and recharge, as well as an employee assistance program.
For many of the health, vision, and dental insurance plans offered by Button, the company covers 100% of the premiums for employees and 75% for dependents.
Button offers all employees and their dependents complimentary memberships to One Medical as well as a monthly stipend for mobile phone/internet and an annual lifestyle stipend.
Button also offers employees in select markets “All Access” memberships to WeWork as well as regular “coworking days” and social events.
Most of all, Button offers our employees the opportunity to live our company values–Learn & Grow, Experiment, Adapt, and Deliver–and to be a part of an incredible team of humans working together to build a better internet, fueled by commerce.