Staff Data Scientist, Kard
$190-210k
Reward infrastructure for card issuers
Be an early applicant
Reward infrastructure for card issuers
21-100 employees
Be an early applicant
$190-210k
21-100 employees
Company mission
To build the future of loyalty with a new reward as-a-service platform.
Role
Who you are
- Experience working in data science, focused on experimentation, personalization, or performance measurement
- Significant experience with statistical hypothesis testing and causal inference on large datasets—ideally in digital ads or similar performance-driven domains (fintech, healthcare, economics, finance, B2B SaaS)
- Expertise in both frequentist and Bayesian methods, with strong theoretical foundation and ability to prototype real-world solutions
- Proficiency in machine learning techniques (scikit-learn, XGBoost, PyTorch, etc.) for both inference and model development
- Strong SQL and Python skills, with experience working at scale on complex datasets
- Proven track record of translating statistical and ML insights into business or product impact
- Experience collaborating with product and engineering teams to build data-driven features; production experience is a plus
- Excellent communication skills and ability to simplify complex topics for diverse audiences
- Experience mentoring and guiding data science peers
- Bachelor’s or Master’s in a quantitative field (Statistics, Computer Science, Mathematics, Economics); Ph.D. a plus but not required
- Inclusive, collaborative, humble, and impact-oriented mindset
- U.S. core business hours availability and willingness to travel for company meetings
What the job involves
- As a Staff Data Scientist at Kard, you’ll lead development of advanced personalization, optimization, and measurement systems at the heart of our platform
- You will apply deep expertise in statistical modeling, experimentation, and machine learning to improve loyalty campaign performance and user experience
- This highly impactful, cross-functional role spans experimentation frameworks, causal inference, and applied ML—contributing to both platform capabilities and strategic decisions
- Design and lead advanced personalization and optimization models to improve campaign targeting, offer performance, and user outcomes
- Build and scale experimentation frameworks for A/B tests, lift studies, and causal inference pipelines
- Develop attribution and measurement methodologies to help partners understand program impact
- Translate statistical and modeling results into actionable, business-relevant insights for Product, Engineering, Sales, and partners
- Collaborate with ML Engineers to operationalize models in production environments
- Mentor other data professionals and provide thought leadership on statistical best practices and model design
- Drive complex, high-impact projects from ideation to delivery, influencing product and platform strategy
- Advance Kard’s measurement and experimentation infrastructure to deliver robust, reproducible insights
Our take
Credit card rewards often play a vital role in attracting new customers to a particular card over its competitors. But for newer fintech companies, setting up an attractive rewards program can be burdensome, requiring the issuer to negotiate with individual retail partners and manage the complexities of integration case by case.
Kard is a platform that is allowing businesses to create their own loyalty and rewards programs that are tailored to their specific needs and goals. Unlike other rewards platforms, Kard enables issuers to build unique rewards and loyalty experiences, making it easy for new issuers to mix and match from Kards offerings and integrate those rewards into their own interface.
Kard is the first rewards platform that provides services to the entire spectrum of card issuers and due to its innovative approach to the market, it has seen steady growth since its launch in 2020. Alongside its growth, Kard has secured funding from several investment organizations and plans to use the funding to expand its network and product suite, as well as accelerate hiring efforts across all departments to ramp up its offerings.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Feb 2020
$6m
LATE VC
Feb 2019
$5.8m
LATE VC
Total funding: $24.4m
Company benefits
- Open PTO
- Health, Vision, Dental Insurance
- Automatic 401k Contributions
- Personal Development Budget
- Three Team Offsites per Year
- Coworking Space Reimbursment
Company HQ
Civic Center, New York, NY
Leadership
Ben Mackinnon
(CEO)Previously worked as an Enterprise Sales Director at WorkMarket and as an Associate Director at Changing Our World.
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