Staff Data Scientist (Full-Time Contractor)

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Requirements:

• M.S. / PhD degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).
• 8+ years of professional data science experience, including shipping production ML systems in customer-facing products.
• Deep expertise in the areas of statistical inference, probability, machine learning (unsupervised and supervised).
• Proven track record of independently productionalize customer facing models that create impact and that have operation rigor.
• Proficiency in Python and SQL, with experience using ML libraries and frameworks
• Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus.
• Experience with LLMs, gen AI, MCP, agents and Natural Language Processing next to a classical understanding of ML models (classification, ranking systems).
• Relentlessly curious and strong focus on solving customer facing problems.
• Excellent communication and stakeholder management skills.

Responsibilities:

• Develop customer facing algorithmic systems owning and leading the end-to-end lifecycle of data science, from problem definition, qualitative analysis, data gathering and preparation to model training and testing.
• Apply and extend generative AI and LLM technologies to solve real-world learning problems such as summarization, content generation, personalization, and more.
• Own evaluation strategy & outcomes through time ensuring the model keep performing
• Partner with Product and Engineering teams to define, prototype, and help productionalize ML solutions that personalize live learning at scale.
• Develop offline and online evaluation strategies to ensure ongoing model performance and impact.
• Drive decisions around data strategy, model evaluation, and experimental design to ensure long-term model robustness and impact.
• Mentor peers across data science and analytics by sharing insights, reviewing work, and helping raise the technical bar.
• Understand and appreciate that Nerdy is an apolitical company and that we can have the largest impact if we are united in our focus on helping people learn and not divided or distracted by advancing unrelated causes.