26 days old

Associate Data Scientist - 51394

Riverwoods, IL 60015
  • Job Code
    51394
\u003Cp\u003EAt Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. \u003Cstrong\u003EWe\u0027re all about people, and our employees are why Discover is a great place to work\u003C/strong\u003E. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.\u003C/p\u003E\u003Cp\u003E \u003C/p\u003E\u003Cp\u003EThis position has full cycle accountability including designing and executing BAU and ad-hoc requests, conducting statistical, business and operation analysis to facilitate business decision-making The primary responsibility of this position includes ascertaining requirements, establishing valid data extraction specifications, designing project plans, extrapolating and manipulating information from internal and external data sources, and presenting results.\u003C/p\u003E\u003Cp\u003E \u003C/p\u003E\u003Cp\u003EResponsible for applying machine learning and data science to develop quantitative capabilities for various needs across the organization. Explores new and innovative tools and technologies. Supports the organization\u0027s transition to adoption of big data and cloud tools and technologies.\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003E \u003C/strong\u003E\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EResponsibilities\u003C/strong\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EAnalyzes and mines large quantities of data to find patterns and insights. Utilizes open-source analytical stacks such as R, Python, Spark, etc.\u003C/li\u003E\u003Cli\u003EDevelops and implements quantitative solutions that leverage structured and unstructured data from internal and external sources.\u003C/li\u003E\u003Cli\u003EPartners with technology teams to implement the quantitative solutions such as Hadoop, AWS, and Cloud-based ecosystems.\u003C/li\u003E\u003Cli\u003EExplores new tools and techniques available and ensues the organization remains on the frontier of analytic capabilities\u003C/li\u003E\u003Cli\u003EUtilizes machine learning and statistical algorithms to create data-driven solutions for various business applications.\u003C/li\u003E\u003Cli\u003EDesigns project and develops commands to extract and manipulate information from specified internal and/or external data sources, using designated programming (SAS), query or scripting language and software tools such as SQL.\u003C/li\u003E\u003Cli\u003EPerform in-depth analyses using tools such as R, SAS/SQL to transform data into valuable information for decision making using statistical and machine learning techniques.\u003C/li\u003E\u003Cli\u003EInterprets results and prepares information in standard formats for presentation.\u003C/li\u003E\u003Cli\u003EGuides and assists business partners in marketing, finance and operations with routine statistical/modeling questions and issues.\u003C/li\u003E\u003Cli\u003ETakes on projects to perform ad hoc research and identify trends or developments that may impact business plans or performance or which may represent opportunities.\u003C/li\u003E\u003Cli\u003EHas in-depth statistical and business skills to understand key customer behaviors and financial drivers for deposit growth.\u003C/li\u003E\u003Cli\u003EEngages in continuous learning to maintain a high level of currency and competency in statistical and analytical principles, tools and techniques.\u003C/li\u003E\u003Cli\u003ECoordinates resources and interacts across functional boundaries as required to successfully complete project.\u003C/li\u003E\u003C/ul\u003E \u003C/p\u003E\u003Cp\u003E \u003Cp\u003E\u003Cstrong\u003EAt a minimum, here\u0027s what we need from you:\u003C/strong\u003E\u003Cstrong\u003E\u003C/strong\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EBachelor\u0027s in Quantitative discipline (statistics, economics, engineering, computer science, or related field).\u003C/li\u003E\u003Cli\u003EIn lieu of a degree, 1\u002B years of experience in data science.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E \u003C/p\u003E\u003Cp\u003EPreferred Qualifications\u003C/p\u003E\u003Cul\u003E\u003Cli\u003E1\u002B years of experience in prior data science internship in the industry\u003C/li\u003E\u003Cli\u003EProven knowledge and expertise in statistical analyses\u003C/li\u003E\u003Cli\u003EProficiency with statistical software and other analytical tools such as SQL, SAS, R, Python, SPARK, H2O, etc.\u003C/li\u003E\u003Cli\u003EFamiliar with systems and data environments such as UNIX, Hadoop, AWS, Teradata, and Hive for data pulling, reporting, data manipulation, and segmentation analyses\u003C/li\u003E\u003Cli\u003EDemonstrated project management skills, including ability to prioritize, meet deadlines and follow through on completion of complex, high-profile projects\u003C/li\u003E\u003Cli\u003EExcellent communication and interpersonal skills, a team player and a self-starter with minimal direction\u003C/li\u003E\u003Cli\u003EProject management skills, problem solving skills and thought leadership\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E \u003C/p\u003E\u003Cp\u003E \u003C/p\u003E\u003Cp\u003EDiscover Financial Services is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, among other things, or as a qualified individual with a disability.\u003C/p\u003E\u003Cp\u003E \u003C/p\u003E \u003C/p\u003E\u003Cp\u003E \u003C/p\u003E \u003Cp\u003E The same way we treat our employees is how we treat all applicants - with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity \u0026 inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover. \u003C/p\u003E \u003Cbr\u003E\u003Cbr\u003E

Categories

Industry

  • Banking / Finance
Posted: 2019-10-19 Expires: 2019-12-12

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Associate Data Scientist - 51394

Discover
Riverwoods, IL 60015

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