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Role Description

National Debt Relief (NDR) is seeking an experienced and versatile Data Scientist IV (Principal level) to join our Data Science team and round out our capabilities. This is a principal-level role for a highly skilled individual contributor with a minimum of 7+ years of proven experience in building and deploying enterprise-grade production machine learning (ML) and artificial intelligence (AI) models. This is a highly collaborative role, and strong teamwork and interpersonal skills are required. As a subject matter expert, you will augment the team's existing strengths in all industry-standard data science models, tools, and model deployment technologies. Deep familiarity with the data science model lifecycle and model deployment tools is essential. This individual will be pivotal in enhancing the team’s capacity to conceptualize, develop, and deploy complex models efficiently and on time.

• Serve as a strategic addition to the data science team, contributing advanced technical expertise to complement existing skills.
• Conceptualize, develop, and deploy production-grade ML models and AI applications, consistently delivering projects within 8–12 week timeframes.
• Apply sophisticated data science techniques, including unsupervised learning, clustering, time series analysis, anomaly detection, NLP, topic modeling, and generative AI, to address business needs.
• Implement and maintain MLOps practices to streamline and manage the full model lifecycle for scalable, production-ready solutions.
• Develop and deploy models as APIs using frameworks such as FastAPI or Docker for efficient integration into production systems.
• Collaborate with cross-functional teams to identify business needs and translate them into impactful data science solutions.
• Use strong SQL (Snowflake preferred) and Python skills for data preparation, analysis, and model development.
• Demonstrate high business acumen by understanding the practical implications of data science projects and communicating effectively with stakeholders.
• Present complex analyses and results to both technical and non-technical audiences, ensuring clarity and actionable insights.
• Provide technical guidance and share expertise with peers and junior data scientists, contributing to a culture of continuous learning and innovation.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field required. A master’s or Ph.D. is preferred.
• 7+ years of professional, full-time data science experience with a proven track record of developing and deploying production-grade ML models.
• Advanced proficiency in Python and SQL (Snowflake preferred), with significant hands-on experience building highly performant code.
• Deep expertise in MLOps and experience managing production model workflows.
• Strong experience developing and deploying ML models as APIs using tools such as FastAPI, Docker, or similar frameworks is highly preferred.
• Proven application of advanced data science techniques beyond classification and regression, including unsupervised learning, clustering, time series analysis, anomaly detection, NLP, topic modeling, and generative AI.
• Demonstrated ability to develop and deploy models on time, with examples of successful implementations.
• Exceptional communication skills for explaining complex data insights to diverse audiences.
• Ability to foster a culture of collaboration, continuous improvement, and innovation.

Requirements

• Experience in financial services or a related industry.
• Experience with data warehouse solutions such as Snowflake (preferred), Azure, Redshift, or GCP.
• Familiarity with data visualization tools for impactful presentations.
• Exposure to collaborative tools such as JIRA and Miro.

Benefits

• Generous Medical, Dental, and Vision Benefits
• 401(k) with Company Match
• Paid Holidays, Volunteer Time Off, Sick Days, and Vacation
• 12 weeks Paid Parental Leave
• Pre-tax Transit Benefits
• No-Cost Life Insurance Benefits
• Voluntary Benefits Options
• ASPCA Pet Health Insurance Discount
• Access to your earned wages at any time before payday