Data Scientist (Machine Learning)

Location: United States (Remote)

Salary: $150,000–$170,000 annually for Senior Data Scientist roles; $125,000–$140,000 annually for Data Scientist roles.

Company

hirify.global provides phone-centric identity tokenization and passive cryptographic authentication solutions for digital identity, security, privacy, and fraud reduction across enterprise industries.

What you will do

• Develop, validate, and tune statistical and machine learning models for complex business problems.
• Design experiments, evaluate model performance, and build dashboards that monitor product efficacy.
• Collaborate with machine learning engineers on deployment pipelines, APIs, infrastructure, and production readiness.
• Monitor deployed models for drift, accuracy, and reliability, recommending retraining or refinement when needed.
• Translate model results into recommendations that support product imhirify.globalments, revenue growth, up-sell opportunities, and cost reduction.
• Mentor colleagues and contribute to data science standards and production machine learning playbooks.

Requirements

• 5+ years of experience applying machine learning and statistics to business problems.
• Master’s or PhD in Statistics, Computer Science, Data Science, or a related field, or equivalent experience.
• Strong proficiency in Python, statistical methods, experimental design, data visualization, and SQL.
• Experience with pandas, scikit-learn, PyTorch or TensorFlow, Looker, Snowflake, and AWS.
• Understanding of APIs, model deployment, monitoring practices, and production machine learning workflows.
• Excellent communication, problem-solving, ownership, and cross-functional collaboration skills.

Nice to have

• Familiarity with R, Java, or Go.

Culture & Benefits

• Data-driven environment where models are deployed to production and support measurable business outcomes.
• Competitive compensation, bonus eligibility, and equity plans.
• Unlimited vacation and flexible hours.
• Medical benefits, wellness services, and a 401(k) retirement plan with matching for US offices.
• Opportunities to shape data science practices and production machine learning systems.