| Data Scientist( Remote) at Atlanta, Georgia, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=778374&uid= From: Harsh Goyal, Tek inspirations [email protected] Reply to: [email protected] Job Description - Title:: Data Scientist Location::Atlanta, GA (Fully remote position but HM wants candidates local to ATL) Fully remote but candidate needs to be local to Atlanta GA 2 rounds of interviews. 1 with two members of team, the 2nd will be with Hiring Manager. Desired 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 modeling 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 engineer 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 Experience conducting advanced feature engineering and data dimension reduction in Big Data environment is 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 Keywords: rlang Georgia http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=778374&uid= |
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| 03:11 AM 21-Oct-23 |