National Debt Relief, LLC · 4 hours ago
Senior Data Scientist
United States
Full-time
Remote
Senior Level
$144K/yr - $174K/yr
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Responsibilities
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.
Qualification
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Required
Advanced proficiency in Python and SQL (Snowflake preferred), with significant hands-on experience.
Deep expertise in ML Ops and experience managing production model workflows.
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.
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.
Preferred
Extensive experience with DataRobot or similar platforms is highly preferred.
Experience in marketing optimization models is a plus.
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
Company
National Debt Relief, LLC
National Debt Relief, a certified Great Place to Work®, was founded in 2009 with the goal of helping an expanding number of consumers deal with overwhelming debt.
Founded in 2009
1,001-5,000 employees
H1B Sponsorship
National Debt Relief, LLC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (3)
2021 (1)
2020 (2)
Funding
Current Stage
Late StageLeadership Team
A
Alex Kleyner
Chief Executive Officer and Co-Founder
D
Daniel Tilipman
Co-Founder and Executive Board Member
Recent News
2024-11-08
Company data provided by crunchbase
