Bank of America Senior Data Scientist in Charlotte, North Carolina
C IG (Corporate Investments Group) is hiring a SAS developer/administrator. In this role, you will provide direction to the Data Scientists and Financial Analysts that use SAS for back tests, diagnostics, model fitting and related activities. Additionally you will collaborate with the infra-structure team in the design and implementation of newer SAS components and expansion of the platform, as well day to day maintenance of the SAS platform.
Successful candidates must be ""hands on"" with SAS software, have a solid understanding of large MPP computer platforms, SAS GRID and Hadoop. The candidate for this role must demonstrate understanding of the different SAS software components used in data manipulation and model development, and have a strong background in maintaining production processes and platforms.
Responsible for enabling analysis, modeling, and optimization through producing information products. Actively involved in the research and development efforts. Primary requirement is not related to traditional programming or systems analysis skills but to the ability to create sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research. These systems must overcome issues of complex data (e.g., VLDB, multi-structured, big data, etc.) as well as deployment of advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to deliver insights. Responsible for adoption of enterprise information products through clearly communicating how enterprise information products answer material banking questions leading to decisions and actions. This role often possesses an advanced degree in hard science or another heavy quantitative business or social discipline. Able to lead or work independently on complex projects and influence strategic direction.
Minimum of 5 years of experience in building analytical data marts and data warehousing, or a minimum of 5 years building analytical models
Expertise in data tools, language and products used for data manipulation, data warehousing using one of these products/languages: Teradata, Hadoop, SAS
Strong SQL and basic Unix/Linux skills
Advanced programing skills in: SAS, R
Strong project management skills and detail oriented
Minimum of a master degree in computer science, statistics, data mining or related field
Solid understanding of the design and usage of MPP platforms
Experience with big-data
Strong independent self-driven professional
Strong analytical and problem solving skills
Experience with version control tools (svn, git and others) is a plus
Perl, Python, Java and C++ skills are a plus
Posting Date : 06/13/2017
Location : US-GA-Atlanta, US-NC-Charlotte
Travel : Yes, 5% of the time
Full / Part-time : Full time
Hours Per Week : 40
Shift : 1st shift
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