Senior Data Scientist, (Full Stack ML & Analytics)

NoRedInk-posted 4 months ago

$170,000 - $200,000/Yr

Full-time • Senior

101-250 employees

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Teaching kids to think critically and communicate effectively has never been more important, and NoRedInk helps students become better writers in more than 60% of U.S. school districts. We're looking for a Full Stack Data Scientist to work with a team of data professionals in solving customer, product, and business problems through data science and advanced analytics, large language models and other machine learning models, as well as data architecture and infrastructure improvements.

Drive objectives in collaboration with members of the data team and colleagues across the company
Partner across Product and Engineering to advance our data science and AI/ML capabilities; leverage LLMs and Generative AI to enhance product features and business operations; assist teams with model selection, implementation, and optimization
Utilize strong project management skills for efficient and effective delivery of data-related projects for cross-functional stakeholders, owning the end-to-end lifecycle of ML models
Effectively leverage our data warehouse and tools like Snowflake, Sigma, Mixpanel, and Google Analytics
Conduct rigorous testing and analysis to validate model performance, monitor model drift and performance in production, and implement retraining strategies as appropriate
Contribute to data team efforts aiming to develop actionable business intelligence
Advise product and engineering leadership, continually improving the product and the organization as a whole while simultaneously learning and growing as an individual contributor
Mentor team members and contribute to the team’s technical roadmap

8+ years experience in a data science or analytics role
Degree or equivalent experience in statistics, analytics, mathematics, computer science, or a related quantitative field
Experience leveraging LLMs to both improve the software development process and deliver features in production
Experience building and training predictive models using leading machine learning frameworks
A strong focus on end-to-end delivery, leveraging full-stack capabilities including data engineering and ETL tooling, model deployment, MLOps, observability, etc.
Proficient with the use of BI and data analysis tools, data warehousing, data visualization, data architecture, data-driven storytelling and other higher level data concepts
Strong collaboration, communication, and presentation skills with the ability to move fluently between metrics and business outcomes, reinforcing and ultimately championing those connections for others
Fluency with SQL and Python
Familiarity with agile methodologies and project management tools
An interest in and an awareness of data privacy and compliance considerations
Open to working with a team spanning US-Pacific to US-East time

A competitive salary and equity package in a well-funded startup with strong product-market fit
Excellent health, vision, and dental benefits (U.S. Only)
100% remote work environment
Flexible PTO and paid parental leave
401(k) (U.S. Only)
Team retreats and events to connect with fun, talented coworkers
The ability to help millions of students and teachers and address a critical societal need

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