Senior Data Scientist (Full Stack ML & Analytics) - Remote

Overview

This position is posted by Jobgether on behalf of NoRedInk. We are currently looking for a Senior Data Scientist, (Full Stack ML & Analytics) in the United States.

This role offers the opportunity to leverage advanced analytics, machine learning, and large language models to solve meaningful product, customer, and business challenges. You will collaborate across product, engineering, and data teams to drive innovation in AI/ML capabilities while ensuring robust data infrastructure and analytics practices. Acting as a full-stack data scientist, you will own projects from conception to deployment, contribute to strategic decisions, and mentor peers. This is a high-impact position where you’ll influence product direction, optimize performance, and directly support millions of users in a fully remote, collaborative environment.

In Short

• Partner with cross-functional teams to advance data science and AI/ML initiatives, integrating LLMs and generative AI into product features and business operations.
• Lead the end-to-end lifecycle of ML models, from selection and training to deployment, monitoring, and retraining.
• Collaborate with product and engineering leadership to enhance product performance and data-driven decision-making.
• Leverage tools such as Snowflake, Sigma, Mixpanel, and Google Analytics for data analysis and insights.
• Conduct rigorous testing and monitoring of models to ensure accuracy, scalability, and long-term reliability.
• Deliver actionable business intelligence to stakeholders and contribute to the technical roadmap of the data team.
• Mentor team members, share expertise, and help build best practices across data science and analytics functions.

Requirements

• Proven experience in data science and machine learning.
• Strong programming skills in languages such as Python or R.
• Familiarity with data visualization tools.
• Experience with cloud data warehousing solutions.
• Ability to work collaboratively in a remote team environment.
• Excellent communication skills to convey complex concepts.

Benefits

• Opportunity to work in a fully remote environment.
• Collaborative culture with a focus on innovation.
• Access to mentorship and professional development.
• Impactful work that supports millions of users.