Data Scientist [Remote]

What we're looking for

•             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

•             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

Apply Now!

#PL-BT #LI-BT