National Debt Relief (NDR) is seeking an experienced and versatile Senior Data Scientist to join our Data Intelligence team and round out our capabilities. This role is designed for an experienced data science professional with proven experience in building and deploying enterprise-grade production machine learning (ML) and artificial intelligence (AI) models. As a key contributor, you will augment the team's existing strengths in classification and regression analysis by bringing advanced expertise in techniques such as unsupervised learning, clustering, time series analysis, anomaly detection, natural language processing (NLP), topic modeling, and generative AI. This individual will be pivotal in enhancing the team’s capacity to conceptualize, develop, and deploy complex models efficiently, within project timelines.

 

• 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 challenges.
• Implement and maintain ML Ops practices to streamline and manage the full model lifecycle for scalable, production-ready solutions.
• 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.
• Mentor junior team members, contributing to a culture of continuous learning and data innovation.

• Advanced proficiency in Python and SQL (Snowflake preferred), with significant hands-on experience.
• Deep expertise in ML Ops and experience managing production model workflows.
• Extensive experience with DataRobot or similar platforms is highly preferred.
• Proven application of a variety 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 while meeting project deadlines, with examples of successful implementations.
• High level of business acumen, with practical experience in client-facing roles or sales preferred.
• Experience in marketing optimization models is a plus.
• Exceptional communication skills for explaining complex data insights to diverse audiences.
• Ability to foster a culture of collaboration, continuous improvement, and innovation.
• Familiarity with data visualization tools for impactful presentations.
• Exposure to collaborative tools such as JIRA and Miro.
• Computer competency and ability to work with a computer.
• Prioritize multiple tasks and projects simultaneously.
• Exceptional written and verbal communication skills.
• Punctuality expected, ready to report to work on a consistent basis.
• Attain and maintain high performance expectations on a monthly basis.
• Work in a fast-paced, high-volume setting.
• Use and navigate multiple computer systems with exceptional multi-tasking skills.
• Remain calm and professional during difficult discussions.
• Take constructive feedback.

 

 

National Debt Relief was founded in 2009 with the goal of helping an expanding number of consumers deal with overwhelming debt. We are one of the most-trusted and best-rated consumer debt relief providers in the United States. As a leading debt settlement organization, we have helped over 450,000 people settle over $10 billion of debt, while empowering them to lead a healthier financial lifestyle and feel free to live their best life. At National Debt Relief, we treat our clients like real people. Our purpose is to elevate, empower, and transform their lives.

 

Rated A+ by the Better Business Bureau, our goal is to help individuals and families get out of debt with the least possible cost through conducting financial consultations, educating the consumer and recommending the appropriate solution. We become our clients' number one advocate to help them reestablish financial stability as quickly as possible.

 

National Debt Relief is a certified Great Place to Work®!

Forbes names National Debt Relief Best Debt Settlement Company of 2024!

Fortune names National Debt Relief Among Best Workplaces in New York!

3X Award Winner for Best Customer Service, Best Experience with Staff, and Best for Transparency by Consumer Affairs!

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for each position across the US. Within the range, individual pay is determined by work location, job-related skills, experience, and relevant education or training. This good faith pay range is provided in compliance with NYC law and the laws of other jurisdictions that may require a salary range in job postings. The salary for this position is $144,000 to $174,000

National Debt Relief is a team-oriented environment full of rewards and growth opportunities for our employees. We are dedicated to our employee's success and growth within the company, through our employee mentorship and leadership programs.

 

Our extensive benefits package includes:

• 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

 

National Debt Relief is a certified Great Place to Work®!

 

National Debt Relief is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law.

 

For information about our Employee Privacy Policy, please see here
For information about our Applicant Terms, please see here

 

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