Data Scientist [Remote]

What you'll work on

             Develop and maintain consultative relationships with key business stakeholders

             Identify, source, transform and join public, proprietary and internal data sources

             Model large structured and unstructured data sources (e.g. financial transactional, time-series, text, speech/audio and image)

             Implement advanced statistical methods for prediction and optimization including a wide variety of machine learning technologies (logit, regression, decision trees/forests, boosted models, clustering, etc.) for purposes including explorative analysis, survival analysis, segmentation, prediction and recommendation systems

             Perform analysis and implement solutions that maximize business impact

             Prepare and present written and verbal reports to key stakeholders

             Some domestic travel may be required

             Execute all aspects of an advanced analytical project under guidance

What we're looking for

             Advanced degree (Masters or Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines

             Master’s degree graduates should additionally have at least two years of industry experience with responsibility for developing advanced quantitative, analytical, statistical solutions

             Hands-on experience applying a wide variety of statistical machine learning techniques to real world problems spanning analysis, predictive modeling and optimization on structured and unstructured data

             Experience using tools such as Python, R, or equivalent for statistical modeling of large data sets

             Well-developed written and oral communication skills with ability to present complex statistical concepts to non-analytical stakeholders (Excel, Word and PowerPoint are a must)

             Software engineering experience in C/C++/C#/Java/Scala or similar object oriented or functional languages is highly regarded but not a prerequisite

             M.B.A. when combined with advanced quantitative degree is highly regarded but not a prerequisite

             Prior academic or industry research experience is highly regarded but not a prerequisite

             Prior exposure to financial services or insurance industry may be helpful but is not a prerequisite

             Strong background in CX, marketing, and digital marketing is required