Senior Data Scientist

October 20

Apply Now

Receive Emails with Similar Jobs

MegaTempo

WebsiteLinkedInAll Job Openings

trabalho temporário • Temporary Staffing • Payroll Services • Selection of Staff

201 - 500

Description

• Drive experimentation, forward-looking insights, predictive modeling, and machine learning algorithms - build best-in-class machine learning AI forecasting solutions at scale. • Lead the development of the scientific roadmap, guide and develop junior engineers in designing and implementing scientific solutions. • Translate analytic insights into concrete, actionable recommendations for business or product improvement. • Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders. • 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.

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.