Senior Data Scientist

Summary

Join our team as a Senior Data Scientist and work remotely! You will drive experimentation, build AI forecasting solutions, and lead the development of scientific roadmaps. Responsibilities include implementing code, translating insights into actionable recommendations, and creating technical documentation. You will also manage projects from start to finish and collaborate with cross-functional teams. This role requires a Bachelor's degree, 5+ years of experience with data scripting languages, and 4+ years as a Data Scientist. A Master's degree in a quantitative field is preferred.

Requirements

• Bachelor's Degree
• 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• 4+ years working as a Data Scientist
• Master’s degree in a highly quantitative field (Machine Learning, AI, Computer Science, Statistics, Mathematics, Operational Research, etc.), or equivalent professional or military experience working as a Data Scientist
• At least 5 years of experience with scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, Stata, Matlab)
• Experienced in using data science methodologies to solve complex business problems (e.g. statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, demand modeling, etc.), as well as key assumptions and parameters impacting performance
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results for large, cross-functional projects with evolving requirements
• Demonstrated capacity to work in a self-directed environment, own tasks and drive them to completion. Keen aptitude for solving unstructured problems
• Demonstrated ability to communicate complex technical problems into requirements, and to communicate results and insights clearly to audiences of widely ranging technical depth
• Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes
• Extensive knowledge and practical experience in several of the following areas: machine learning, statistical modeling, NLP, deep learning, demand forecasting (statistical or algorithmic)
• Experienced in preparing presentations for presenting both the methodologies used and results for data science projects

Responsibilities

• Drive experimentation, forward-looking insights, predictive modeling, and machine learning algorithms
• Build best-in-class machine learning AI forecasting solutions at scale
• Implement code (Python, R, Scala, etc.) for analyzing data and building statistical models to solve specific business problems. Work with software engineering teams to productionize algorithms where appropriate
• Lead the development of the scientific roadmap, guide and develop junior engineers in designing and implementing scientific solutions
• Directly contribute to the design and development of scaled AI solutions
• Translate analytic insights into concrete, actionable recommendations for business or product improvement. Develop and present these as papers to senior stakeholders with ranging levels of technical knowledge
• Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders
• Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building to deliver accurate and effective business insights
• Innovate by researching, learning, and adapting new modeling techniques and procedures to existing business problems
• Manage and execute entire project from start to finish including problem solving, data gathering, data preparation and manipulation, predictive modeling, and stakeholder engagement