Data Scientist (Remote)

About the Role

Our client is seeking a Principal Data Scientist to lead the development and expansion of Data Science and AI capabilities focused on end-to-end payment optimization. This remote, contract-to-hire position combines strategic technical leadership with hands-on machine learning expertise to build and deploy real-time models and intelligent decision engines.

The Principal Data Scientist will work closely with machine learning engineers, product partners, and cross-functional teams to define technical strategy, guide architecture and solution design, and deliver production-ready ML systems. The role also involves mentoring experienced data scientists, establishing best practices, and shaping the operating model for machine learning research and development.

Key Responsibilities

• Define the technical vision and strategy for data-driven product initiatives focused on payment optimization and aligned with business goals.
• Develop scalable, reusable capabilities for real-time machine learning models, including classification, ranking, optimization, rapid experimentation, and continuous monitoring.
• Oversee and contribute to the conceptualization, development, deployment, operation, validation, and maintenance of machine learning models and update systems.
• Lead architecture discussions, design reviews, code reviews, and selected implementation efforts to ensure production-grade ML solutions.
• Establish and enforce best practices for machine learning modeling, evaluating and adopting modern tools, frameworks, and infrastructure.
• Promote innovation, experimentation, and collaboration while mentoring senior data science professionals.
• Partner with product, engineering, data, and compliance teams to integrate machine learning into products and communicate complex technical concepts to diverse audiences.
• Collaborate with Data Science leaders to establish an ML research and development operating model that supports end-to-end delivery of business value.
• Translate complex business requirements into practical technical solutions and guide solution design and execution.

Required Qualifications

• Bachelor’s or master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. A PhD is preferred.
• At least 7 years of experience in machine learning research or engineering.
• At least 5 years of experience building large-scale, real-time machine learning systems in production, including hands-on development experience.
• Expertise in machine learning, statistical modeling, and data analysis, with strong knowledge of the full ML lifecycle and experimentation.
• Proficiency in Python, including Pandas, NumPy, and scikit-learn.
• Strong SQL skills.
• Demonstrated ability to lead technical solution design and execution while translating complex business needs into actionable technology solutions.
• Excellent communication and collaboration skills, including the ability to influence technical and business stakeholders and communicate effectively with executives.

Preferred Qualifications

• Experience with NoSQL or graph databases.
• Experience in payments, fintech, or financial services.
• Knowledge of payment systems, including the authorization lifecycle, tokenization, fraud and risk management, and real-time payments.
• Experience with cloud platforms and data technologies such as AWS, GCP, Snowflake, Databricks, or Vertex AI.
• Experience working in Agile development environments.
• Background working in large organizations, mature machine learning teams, or regulated industries.

Location and Work Arrangement

Work arrangement: Remote.

Employment Type and Duration

• Contract-to-hire opportunity.
• Candidates must be willing and able to work on a W-2 basis and transition to full-time employment following the contract period.

Compensation and Benefits

• Hourly rate: $85.00–$95.00 on a W-2 basis.
• W-2 consultants are eligible for a benefits package that includes medical, dental, and vision coverage, a 401(k) plan with company matching, and life insurance.