Opening for Data scientist- Remote- Atlanta /Alpharetta GA.- ONLY LOCALS 12+ years .
Fully remote position - however resources need to reside in GA, local to Atlanta/Alpharetta if possible.
Looking for a Sr. Statistical Consultant/Sr. Data Scientist to join our world-class Global Identity and Fraud Analytics team. In this exciting role, you will have the opportunity to work on a variety of challenging projects across multiple industries including Financial Services, Telecommunications, eCommerce, Healthcare, Insurance and Government. In this position you will: Work with various stakeholders such as Business Consultants, Senior Statisticians, Product Management, and Clients on the formulation and application of new modelling solutions for a variety of industry problems
Manipulate large data sets, integrate diverse data sources, data types and data structures into solutions
Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development
Research new and advanced predictive modelling techniques as appropriate for a specific solution
Present results and recommendations to internal and external customers
Work with cross-functional teams to develop ideas and execute business plans
Develop solution prototypes and help integrate them with the product
Work closely with software development teams to communicate requirements and ensure quality of end-to-end deliverables of developed analytical solutions
Contribute to the team knowledge by keeping up with the state-of-the-art in machine learning applied to our domain
Skills and Experience:
Minimum 3 years of professional related work experience
1-3 years quantitative analytical experience, including conducting hands-on analytics projects using generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, support vector machine, clustering, and similar methodologies
Proficiency skill in hands-on data mining and modelling projects with Python, R, and SQL
Master's degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline
Strong consultative acumen and ability to understand complex analytical solutions
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Ability to create new ideas for analytical solutions to address customer's business issues
Preferred Skills and Experience:
4+ years of professional experience as a data scientist or statistical modeler in at least one of the following: identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena.
4+ years working with Python and SQL.
Experience with state-of-the-art machine learning algorithms such as deep neural networks, support vector machines, boosting algorithms, random forest etc. preferred
Experience conducting advanced feature engineering and data dimension reduction in Big Data environment is preferred
professional experience as a data scientist or statistical modeler in identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena is a plus
Strong SQL skills in Big Data environment (Hive/ Impala etc.) a plus
Proficient with any programming languages such as Python , Java, Scala a plus
Experience working with very large datasets, knowledge of distributed computing tools (Hadoop Streaming, MapReduce, Spark) a plus
Exposure to Visualization tools such as Tableau a plus
Extensive knowledge in fraud prevention methods and detection tools a plus
Strong knowledge of credit bureau data and business problems in financial services and/or telecommunications a plus
Top Required Skill Sets -
3+ years of professional experience as a data scientist or statistical modeler in at least one of the following: identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena.
3+ years working with Python and SQL.
Experience with state-of-the-art machine learning algorithms such as deep neural networks,support vector machines, boosting algorithms, random forest etc. preferred
Strong SQL skills in Big Data environment (Hive/ Impala etc.) a plus
Things that would stand out on resume -
1- Masters Degree in Computer Science & Data Science
2- Previous Company - Any Bank, Ecommerce