Senior Data Scientist

🕒 April 21

🇺🇸 United States – Remote

💵 $160k - $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kard

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Kard is a company that offers the first rewards-as-a-service API aimed at enhancing customer loyalty for cardholders and shoppers. By providing marketers and banks with tools to launch customizable loyalty programs quickly, Kard enables them to engage inactive cardholders and encourage repeat purchases. The company's platform is designed with a focus on security and compliance, ensuring confidence in its products. Kard's solutions help marketers reach new audiences, card issuers to create branded loyalty programs, and consumers to earn rewards effortlessly across numerous locations in the U. S.

📋 Description

• Build and ship machine learning models for offer personalization, ranking, and targeting using transaction, merchant, and user behavioral data • Develop features and training pipelines on large-scale event and transaction datasets • Design and analyze A/B tests and incrementality experiments • Apply causal inference methods such as matching, uplift modeling, and difference-in-differences • Partner with ML and Data Engineers to productionize models, including feature stores, batch/real-time scoring, and monitoring • Improve ranking and recommendation systems to optimize engagement, conversion, and retention • Contribute to attribution and measurement systems for evaluating incremental campaign value • Translate modeling outputs into actionable insights for internal teams and external partners • Own projects end-to-end, from problem framing and data exploration through modeling, deployment, and post-launch evaluation • Help define best practices for experimentation, model evaluation, and data quality

🎯 Requirements

• 6+ years of experience in data science, with meaningful experience in applied machine learning in production • Strong experience with recommendation systems, ranking models, or personalization, including propensity models, collaborative filtering, or embeddings • Solid grounding in statistics and experimentation, including A/B testing and incrementality measurement • Experience with causal inference approaches for real-world observational data • Proficiency in Python, including pandas, scikit-learn, PyTorch, or XGBoost, and SQL • Experience working with large-scale datasets • Experience working with event-driven or transaction-level data; fintech, ads, marketplaces, or similar domains preferred • Familiarity with modern data/ML stacks, including Spark, Airflow, dbt, feature stores, or AWS/GCP • Experience collaborating with engineers to deploy models into production systems, including APIs, batch jobs, or real-time scoring • Ability to connect modeling work to business outcomes such as conversion, lift, retention, and ROI • Strong communication skills for explaining tradeoffs and results to technical and non-technical audiences • Pragmatic, product-minded, and impact-driven • U.S. core business hours availability • Willingness to travel for company meetings

🏖️ Benefits

• Flexible PTO, with a minimum requirement to take one day off a quarter, ten days a year, promoting mental well-being • Observance of 11 Federal Holidays, plus an additional day each for Black Friday and Christmas Eve (US employees only) • Health, Dental and Vision Insurance • 401k with employer match (US employees only) • Coworking space and WFH setup reimbursement • Company Offsites for planning, team-building, and networking • Remote-first team with autonomy to influence the company's trajectory and culture