Button Logo

Button

Senior Data Scientist

Reposted 13 Days Ago
Remote or Hybrid
Hiring Remotely in United States
160K-208K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States
160K-208K Annually
Senior level
Design, iterate, and productionize ML models for recommendation, ranking, routing, and monetization. Lead A/B testing and causal measurement, build dashboards and analytics, define metrics, collaborate with Product and Engineering, and scale ML/analytics infrastructure and model lifecycle management.
The summary above was generated by AI

Button’s mission is to build a better internet, fueled by commerce. Today, we work with some of the largest and most interesting businesses in the world to connect consumers with what they want at the tap of a button. We build with the consumer experience in mind, have a reputation for paving the future of mobile, and have a good time doing it.


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.


AS A SENIOR DATA SCIENTIST, YOU WILL:
  • 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


WHAT WE LOOK FOR:

  • 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
EXPERIENCE:
  • 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 HAVE:
  • 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)
COMPENSATION & BENEFITS:

Button is one of the fastest growing and profitable growth equity backed companies based out of NYC.  Backed by PSG, Button is pioneering new ways for companies to build revenue models at the intersection of creators, retailers, and brands. We’ve been recognized multiple times by BuiltIn, Fortune, Inc., and Crain’s magazines as one of the best places to work in the US, and we’re building a team of happy warriors to bring the company to greater heights. 


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.


Diversity & Inclusion:

Button is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported, and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and believe being open about who we are allows us to do the best work of our lives.


Equal Opportunity Employer:

Button is an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.


Similar Jobs

11 Days Ago
Remote or Hybrid
120K-150K Annually
Senior level
120K-150K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Lead data curation and pipeline efforts for large 2D/3D media datasets. Coordinate with ML, annotation, and engineering teams to define data specs, ensure dataset quality, and translate project goals into production-ready training inputs.
Top Skills: ConfluenceExperiment Tracking FrameworkFiftyoneGitGit ServerJIRAPythonSlackUnix Shell
21 Days Ago
Easy Apply
Remote
USA
Easy Apply
180K-212K Annually
Senior level
180K-212K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Own and evolve revenue calibration models tying CX interactions to revenue, design causal inference and experimentation frameworks, build LLM-powered classification/NLP pipelines, productionize models with Analytics Engineers, define segmentation and behavioral signals, and ensure statistical rigor for executive reporting and regulatory defensibility.
Top Skills: A/B TestingCausal InferenceGeminiGenerative AiGleanLibrechatLlmMlNlp
Yesterday
In-Office or Remote
Senior level
Senior level
Internet of Things
Lead end-to-end AI/ML projects: ingest and curate internal/external data, develop predictive and prescriptive models (including CV and NLP/LLMs), deploy and monitor production models, create dashboards and visualizations, and communicate insights to stakeholders to drive business performance and process optimization.
Top Skills: Ai AgentsComputer VisionData LakeGCPLarge Language ModelsMachine LearningMatplotlibNatural Language ProcessingNeural NetworksNumpyPandasPower BIPythonScikit-LearnSeabornSQL

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account