Senior Applied Scientist

Senior Applied Scientist

Requirements

• Bachelor’s degree in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or another related field
• 5 years of related experience

Responsibilities

• Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, causal inference, statistics, and optimization.
• Collaborate with engineering and product teams to productionize these solutions and create a lasting impact.
• Drive clarity and solve ambiguous, challenging business problems using data-driven approaches, with an emphasis on understanding causal relationships when applicable.
• Propose and guide robust frameworks of data analysis to drive business insights and inform decision-making.
• Establish standard methodologies for data science, including modeling, coding, analytics, and experimentation.
• Leverage data to understand product performance and identify improvement opportunities, including analyzing potential causal factors.
• Design product experiments and interpret results to draw detailed and impactful conclusions.
• Communicate findings and insights to senior management and cross-functional teams.
• Provide recommendations to assist quick product ideation and feature launch decisions.
• Build intelligent data-driven products to provide the best user experience.

Preferred Qualifications

• Master’s or Ph.D. in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or a related field
• Strong knowledge of experimental design and analysis
• Expertise in causal inference, statistical analysis and testing, and model development
• Ability to use a programming language like Python or R to work efficiently at scale with large data sets
• Proficiency in SQL, Hive, and Spark for data manipulation and analysis