Data instrumentation jobs

Manager, Product Management - Card Servicing AI Strategy

Capital One · Posted Nov 10, 2026

Open

Chicago, Illinois, United States +3 more
Hybrid
Full-time · Manager
$150K–$205K per year

Manager, Product Management - Card Servicing AI Strategy

Capital One · Posted Nov 10, 2026

Open

Chicago, Illinois, United States +3 more
Hybrid
Full-time · Manager
$150K–$205K per year

Senior Software Engineer - Buyer Pricing

StubHub · Posted Nov 10, 2026

Open

New York, New York, United States
Hybrid
Full-time · Senior
$200K–$250K per year
5+ years

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Architect and maintain scalable, low-latency pricing systems for StubHub’s buyer-facing ticket platform.

Compensation

Salary: $200,000 - $250,000 per year.

Responsibilities

Architect scalable, low-latency pricing systems that support real-time decision making and experimentation
Collaborate with Data Science to deploy, operate, and maintain pricing models and experimentation frameworks in production
Establish and maintain service level objectives (SLOs) to ensure reliability, performance, and operational excellence of pricing services
Implement data instrumentation processes to ensure accuracy, traceability, and visibility across pricing workflows
Assess and integrate new technologies that improve experimentation capabilities, operational efficiency, and system performance

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or related field
Master’s degree in Computer Science, Computer Engineering, or related field

Skills

low-latency pricing systems real-time decision making data instrumentation

Lead Product Operations - Retail Intelligence

VusionGroup SA · Posted Nov 10, 2026

Open

Paris, Île-de-France, France
Hybrid
Senior
8+ years

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Lead Product Operations chargé(e) de rendre les produits Vusion Intelligence faciles à déployer, mesurables et évolutifs à grande échelle chez nos clients.

Responsibilities

Piloter la performance du portefeuille : nombre de clients, de magasins et de dispositifs installés, utilisateurs actifs, adoption, churn et chiffre d'affaires, en définissant les métriques, leur instrumentation et une source unique de vérité.
Animer avec la R&D une feuille de route dédiée aux Product Operations couvrant l'analytics produit et la télémétrie, les outils de déploiement et de configuration, le monitoring, le support, les fonctionnalités de self-service.
Centraliser les retours des équipes Operations, Support, Customer Success et Presales dans un backlog unique, partagé et arbitré avec l'équipe Produit.
Encadrer et accompagner les équipes Product Operations dédiées à la réussite des pilotes et des déploiements clients.
Être responsable des critères de passage de jalons Ready for Pilot et Ready for Scale : documentation, formation, niveaux de support (L1/L2/L3), préparation des SKU et des offres tarifaires.

Requirements

Nice to have: Retail Tech
Nice to have: IoT
Nice to have: ESL
Nice to have: Vision par ordinateur
Nice to have: Edge computing

Skills

Product Operations

Data Scientist I - Center for Diagnostics and Artificial Intelligence

Cleveland Clinic · Posted Nov 6, 2026

Open

Remote, United States
Remote
Entry
2+ years

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Apply statistical and machine learning techniques to analyze large, unstructured datasets and support the Center for Diagnostics and Artificial Intelligence in developing AI and ML solutions.

Responsibilities

Gather requirements and program model development under direction of other Data Scientists
Participate in model building
Utilize methods particularly in the areas of modeling, AI, ML, DL, NLP and experience designing/implementing solutions
Provide insight and recommendations to solve business problems
Document best practices and solution frameworks

Requirements

Bachelor’s Degree in Statistician, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field
Master’s degree
Nice to have: Master’s Degree in Data Science or related field
Nice to have: Certification or fellowship in analytics, big data, data science or related subject
Nice to have: Technology partner certification (Microsoft, Oracle, Teradata, IBM, EMC, Cloudera, Hortonworks, Informatica, Tableau, SAS, R, Python)

Skills

SQL Teradata MapReduce

Manager, Product Management - Card Servicing AI Strategy

Manager, Product Management - Card Servicing AI Strategy

Locations (4)

Compensation

Responsibilities

Requirements

Skills

Benefits

Senior Software Engineer - Buyer Pricing

Compensation

Responsibilities

Requirements

Skills

Lead Product Operations - Retail Intelligence

Responsibilities

Requirements

Skills

Data Scientist I - Center for Diagnostics and Artificial Intelligence

Responsibilities

Requirements

Skills

Benefits