Job Description

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.

Accountabilities

• 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

• 8+ years of experience in data science, machine learning, or advanced analytics roles.
• Degree in statistics, mathematics, computer science, or a related quantitative field (or equivalent experience).
• Hands-on experience with LLMs and generative AI in production environments.
• Expertise in building predictive models using leading ML frameworks and managing full-stack workflows, including data engineering, ETL, MLOps, and observability.
• Proficiency in SQL and Python, with strong BI, data warehousing, and visualization experience.
• Ability to connect metrics to business outcomes and communicate insights clearly to diverse audiences.
• Strong collaboration, communication, and project management skills with experience working across time zones.
• Familiarity with agile methodologies, project management tools, and data privacy/compliance considerations.

Benefits

• Competitive salary range of $170,000–$200,000 plus equity.
• Comprehensive health, vision, and dental insurance (U.S. only).
• 100% remote work environment with flexible schedules.
• Flexible PTO and paid parental leave.
• 401(k) retirement plan (U.S. only).
• Stipends for wellness, home office setup, and co-working spaces.
• Team retreats and events to foster connection and collaboration.
• The opportunity to make a meaningful societal impact by supporting students and educators worldwide.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job’s core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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