Data Scientist (Machine Learning)

Location: Hybrid in San Francisco, New York, or Seattle, United States

Annual base compensation: $130,000–$196,500

Company

hirify.global develops responsible data collaboration products for brands, retailers, financial services providers, and healthcare innovators.

What you will do

• Design, implement, deploy, and improve production-grade machine learning and statistical models for identity, entity resolution, measurement, targeting, and analytics.
• Analyze large-scale, high-dimensional datasets, engineer robust features, and improve model performance and stability.
• Own end-to-end data science workflows, including problem framing, exploration, modeling, deployment, monitoring, and continuous improvement.
• Build experimentation and evaluation frameworks, define success metrics, and quantify business impact.
• Partner with Engineering, Product Management, customer success, and go-to-market teams to deliver scalable, customer-focused solutions.
• Contribute maintainable code, documentation, dashboards, shared tooling, and best practices while mentoring data scientists and analysts.

Requirements

• MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related quantitative field, or equivalent practical experience.
• 3+ years of experience designing, building, and deploying data science or machine learning solutions in production.
• Strong Python and SQL skills, with experience using data and machine learning libraries such as pandas, NumPy, and scikit-learn.
• Experience working with large datasets, cloud environments, and modern data processing frameworks or warehouses such as BigQuery.
• Ability to frame ambiguous business or product questions as concrete, testable data science problems.
• Strong analytical, problem-solving, communication, experimentation, and product-focused execution skills.

Nice to have

• Experience with embeddings, representation learning, similarity and ranking systems, approximate nearest neighbor search, or vector databases.
• Experience with Google Cloud Platform services such as BigQuery, Dataflow, or Vertex AI.
• Experience designing ML evaluation and monitoring systems, including offline and online metric alignment.
• Familiarity with privacy-preserving data practices, data governance, identity, entity resolution, or graph-based modeling.

Culture & Benefits

• Hybrid work across hirify.global offices in San Francisco, New York, and Seattle.
• Work on identity and data collaboration products used by leading brands, retailers, financial services providers, and healthcare innovators.
• Emphasis on experimentation, scientific rigor, reproducibility, observability, and responsible data use.
• Collaboration across product, engineering, customer success, and go-to-market functions.