Data Scientist – Algorithms, Community Support

This is a fully remote position, open to applicants in United States.

📋 Description

• Work collaboratively with a dynamic team of engineers, product managers, designers, and operations agents to facilitate a personalized experience.

• Collaborate closely with the technical lead to address critical components of high-impact projects.

• Employ advanced techniques to enhance the efficiency and quality of the LLM evaluation process through automation.

• Expand the curation of high-quality synthetic datasets across various computer science domains for the training and evaluation of LLM.

• Develop LLM/ML models to analyze customer issues using diverse datasets and pinpoint failure modes along with opportunities for enhancement.

• Create personalization models to deliver tailored experiences and maximize business impact.

• Discover high-impact business opportunities through data exploration and model prototyping.

• Examine both structured and unstructured data to reveal significant insights and formulate actionable recommendations.

• Construct and deploy production-ready LLM/ML models that directly support the launch of data-driven products.

⛳️ Requirements

• Minimum of 2 years of relevant industry experience (e.g., data/ML scientist, tech lead, junior faculty) along with a Master’s degree or PhD in applicable fields.

• Cutting-edge knowledge of AI/ML models.

• Proficient in Python/R and SQL; skills in observational causal inference are a plus.

• Demonstrated ability to communicate effectively to audiences with varying levels of technical expertise.

• Capability to convey complex findings and results into engaging narratives that drive impact.

• Exceptional project management, communication, and collaborative abilities.

• A product-focused mindset, with the talent to apply innovative and conceptual thinking to develop and implement user-centric solutions.

🏝️ Benefits

• This position may also qualify for bonuses, equity, benefits, and Employee Travel Credits.