Staff Applied Scientist

Staff Applied Scientist

Requirements

• 6+ years of data science, machine learning / statistical modeling experience
• Experience implementing theoretical models in an applied environment
• M.S. or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
• Strong interest in delivering data-driven solutions using ML and AI
• Proficiency in data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software
• Solid understanding of statistics, machine learning, operations research, and causal inference. Knowledge of NLP or Bayesian testing is a plus
• Insatiable curiosity and bias toward action

Responsibilities

• Lead groundbreaking projects that leverage AI and machine learning techniques to optimize operations and drive business success
• Take ownership of the entire lifecycle from model design, training, productionization and incremental enhancement
• Foster a culture of experimentation by designing and scale rigorous A/B tests when needed to measure business impact
• Educate internal analytics teams on current and emerging research, technologies, and best practices for leveraging ML and LLM in product design and development
• Collaborate with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering
• Establish best practices in data science and mentor future team members to maintain high standards in data governance and insight generation
• Communicate effectively with stakeholders across various technical levels, articulating insights and recommendations about your solutions
• Cultivate trust with stakeholders by consistently addressing their true fundamental needs and challenges

Preferred Qualifications

No preferred qualifications provided.