Senior Data Scientist (Programmatic Algorithms)

Location: New York City, NY

Salary: $165,000–$185,000 per year, plus a 5% variable annual bonus and potential RSU grant.

Company

hirify.global provides a commerce partnership marketing platform covering affiliate, influencer, content publisher, brand ambassador, and customer referral partnerships.

What you will do

• Design and deploy machine learning models for auction pricing, bid shading, floor prices, yield optimization, and inventory allocation.
• Build forecasting, routing, pacing, deal-matching, and supply optimization models for programmatic marketplaces.
• Architect event pipelines, feature stores, training datasets, and real-time feature-serving infrastructure.
• Deploy and operate low-latency inference systems, including monitoring for model performance, data drift, reliability, and retraining triggers.
• Own the model lifecycle from training and evaluation through deployment, A/B testing, and iteration.
• Design causal experiments and communicate tradeoffs and results to Product, engineering, data science, and business stakeholders.

Requirements

• 5+ years in data science, ML engineering, or quantitative research, including 2+ years deploying models in programmatic advertising, ad tech, marketplace optimization, real-time bidding, dynamic pricing, or auction systems.
• Strong understanding of programmatic auction mechanics, including RTB, header bidding, floor pricing, deal types, and bid shading.
• Ability to take ML models from prototype to production with real-time inference, monitoring, retraining pipelines, and SLO ownership.
• Strong Python and SQL skills, plus experience with machine learning libraries and large-scale tools such as Spark or Kafka.
• Experience with feature stores, high-volume auction and bid-stream data, low-latency deployment, model versioning, drift monitoring, A/B testing, and retraining.
• Bachelor’s degree in a quantitative field; a Master’s or PhD is preferred. Strong causal inference, experimentation, and stakeholder communication skills are required.

Nice to have

• SSP, DSP, or exchange-side yield optimization experience, especially floor-price optimization, bid-landscape modeling, or deal-matching algorithms.
• Knowledge of auction theory, contextual or multi-armed bandits, reinforcement learning, online learning, or adaptive algorithms.
• Experience with privacy-preserving ML, GCP, Databricks, Spark, supply forecasting, inventory management, or capacity planning.
• Familiarity with affiliate marketing and partnership ecosystems.

Culture & Benefits

• Medical, dental, and vision insurance, flexible spending accounts, and a 401(k).
• Responsible PTO, flexible working environment, mental health and wellness support, and gym reimbursement.
• RSUs with a three-year vesting schedule, subject to Board approval.
• Free Coursera subscription, PXA courses, and technology and internet stipends.
• Paid parental leave of 26 weeks for primary caregivers and 13 weeks for secondary caregivers.
• Office-only catered lunch every Thursday, snacks, and coffee.