Sr. Data Scientist

JDM Systems Consultants Inc

Job Overview

Job Description Designs experiments, perform hypothesis testing, and build various data models Analyzes and mines both structured and unstructured data to drive product centric as well as user-centric insights. Develops and tests analytical solutions to be leveraged by both internal and external clients. Crafts compelling stories makes logical recommendations drives informed actions. Applies advanced statistical techniques to understand ecosystems, user behaviors, and long-term trends. Leads and executes independent quantitative research projects, leveraging data from multiple sources Creates insightful automated dashboards and data visualizations to track key business metrics, with initial emphasis on issuing business. Uses best practices to understand the data and develop statistical, analytical techniques to build models that address business needs. Not an exhaustive list other duties as assigned. Minimum Qualifications Bachelor’s Degree – Quantitative Analytics, Statistics, Mathematics, Data Science, or similar discipline Minimum of two years of working experience as a data scientist in the payments industry OR a minimum of 3 years of working as a data scientist in bankingfinancial services OR 5 years of working as a data scientist in all other industries. Minimum 4 Years Relevant Experience Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, D3, or JavaScript Prior experience deploying models in production. Prior experience working for one of the following Experience with at least working knowledge on one of the following products (ACEADM, Determinator, Cardguard, TRIADPowerCurve) OR A cardbrand, focusing on issuing specific capabilities OR issuing products Prior experience working for one of the big 4 or another management consulting firm, again with emphasis on credit card issuing Preferred Qualifications Prefer experience with Product Analytics Patents, published research, andor conference presentations in the data science field. are a big plus. Experience with building AWS cloud-native data science applications Experience in productization of data science products Masters in Data Science or a related quantitative field. PhD’s are also valid, but need to have work experience similar to MS candidates. Experiencing building and deploying real-time scoring models into production Master’s Degree – Quantitative Analytics, Statistics, Mathematics, Data Science, or similar discipline Preferably skill sets in Kubeflow or another distributed ecosystem deployment system for machine learning. Preferably located in Atlanta, but open to remote east coast candidates. Either a patent, or speaking roles at major data science conferences (Open Data Science conference, etc.) is a huge plus.

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