Senior Data Scientist (Personalization)

Location: New York, NY, with remote work available within the United States; employees within commuting distance of New York offices are expected to work onsite three days per week.

Salary: $175,000–$190,000 annually in New York; $160,000–$175,000 annually for Remote US.

Company

hirify.global operates a product discovery platform that connects shoppers with products from thousands of retail partners through personalized recommendations.

What you will do

• Design, train, evaluate, and improve recommendation and personalization models for individualized product feeds.
• Build user and product embeddings, candidate-generation systems, and vector retrieval solutions across a catalog scaling toward tens of millions of products.
• Develop cold-start strategies for new users and products with sparse behavioral data.
• Design and analyze offline evaluations, A/B tests, and multivariate experiments to connect model quality with product and business outcomes.
• Use SQL, BigQuery, NLP, computer vision, and LLM-based techniques to transform behavioral and catalog data into model features.
• Deploy and monitor production models through the existing MLOps stack and collaborate with MLOps, engineering, and product teams.

Requirements

• Master's degree or higher in computer science, statistics, machine learning, applied mathematics, or a related quantitative field, or equivalent practical experience.
• Strong foundations in data science, statistics, experimental design, ranking evaluation, and the full A/B testing lifecycle.
• Experience designing, training, and deploying embedding models and vector retrieval systems at catalog scale.
• Experience with cold-start or sparse-signal personalization for new users, new products, or both.
• Strong Python, modern machine learning frameworks, pandas, NumPy, scikit-learn, and SQL; BigQuery experience is preferred.
• Experience deploying and serving models on cloud ML platforms, with GCP Vertex AI strongly preferred, plus strong communication skills and commerce or product-catalog intuition.

Nice to have

• Applied NLP or computer vision for extracting structured attributes from product text and imagery.
• Experience with adaptive recommendation methods, multi-armed bandits, or contextual bandits.
• Public writing or conference talks on recommendation, personalization, or ranking.
• Early-stage company or commerce experience, including commerce SaaS or vertical commerce startups.

Culture & Benefits

• Remote work flexibility within the United States, with a hybrid NYC schedule for employees who live nearby.
• Medical, dental, vision, prescription drug, health savings, and flexible spending benefits.
• Unlimited paid time off, paid holidays, paid parental leave, disability coverage, and family care benefits.
• 401(k) savings plan with company match, tuition reimbursement, donation matching, and commuter benefits.
• Additional benefits include life insurance, accident coverage, pet insurance, and adoption or surrogate assistance.