Sr Data Scientist

TL;DR

Sr Data Scientist: Designing advanced predictive models and machine learning solutions to uncover insights and improve member experiences with an accent on translating complex business challenges into scalable analytics solutions. Focus on leading hypothesis-driven experimentation and contributing to MLOps and model deployment.

Location: Must be a resident of WA, CA, VA, NC, OR, ID, AZ, TX, GA, or SC. If located in Washington state and within a reasonable driving distance from Tukwila, hybrid work is required on Tuesdays & Wednesdays. For those candidates that live outside the commute distance of TFC and in any of our approved remote work locations, this role will be remote.

Salary: $117,200.00-$143,200.00

Company

hirify.global is a financial institution committed to serving its members, communities, and each other through a “people helping people” philosophy.

What you will do

• Build advanced machine learning models to solve complex business problems and deliver measurable business value.
• Conduct exploratory data analysis, feature engineering, and dataset preparation to support robust model development and experimentation.
• Monitor and refine models to ensure accuracy, scalability, and sustained business impact while identifying opportunities for optimization.
• Lead hypothesis-driven experimentation, including A/B testing and controlled experiments, to inform product, marketing, and business decisions.
• Support the development and implementation of scalable MLOps frameworks to enable reliable model deployment, monitoring, and lifecycle management.
• Partner with business stakeholders to understand objectives and convert complex challenges into actionable analytical strategies.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related quantitative field, or an equivalent combination of education and professional experience.
• Minimum 5 years of experience in data science or a related analytical discipline, with demonstrated success developing predictive models and delivering data-driven solutions that influence business decisions.
• Proficiency in programming languages such as Python, R, and SQL, including experience building scalable analytical models and working with large datasets.
• Working knowledge of statistical modeling, machine learning techniques, and core data engineering principles, with the ability to apply them to complex real-world problems.
• Proven communication, presentation, and project management skills, with the ability to translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders.

Nice to have

• Advanced degree (Master’s or PhD) in a quantitative discipline preferred.
• Experience working within financial services or regulated industries.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with MLOps tools such as MLflow, Airflow, Kubeflow, or similar frameworks.
• Familiarity with BI tools such as Tableau or Power BI and marketing analytics platforms such as Salesforce Marketing Cloud or Google Analytics.

Culture & Benefits

• 401(k) Company Match (up to 3%).
• 4% annual contribution to your 401(k) by hirify.global.
• Medical, Dental and Vision (family contributions as well).
• PTO Program + Exchange Program.
• Tuition Reimbursement Program.
• hirify.global Cares volunteer time off + donation match.