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Data Scientist I

Company: Bank of America
Location: Pennington
Posted on: November 19, 2021

Job Description:

Job Description:Responsible for enabling analysis, modeling, and optimization through producing information products. Involved in the research and development efforts. Primary requirement is not related to traditional programming or systems analysis skills, but to the ability to support the creation of 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. This role often possesses a degree in hard science or another heavy quantitative business or social discipline. Able to work independently or in a team on complex projects. Required Skills/Experience:

  • Design, build, and integrate data from various resources.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Align data architecture with business requirements.
  • Develop data set processes (big data).
  • Solid communication and presentation skills, including an ability to convey complicated machine learning and experimentation approaches to business partners
  • Robust and efficient Python coding skills
  • Define the data flow, data set, data acquisition and ingestion process.
  • Experience with technologies such as Hadoop, MapReduce, Hive, Pig, Data streaming, NoSQL, SQL, programming, KAFKA, and Cassandra,
  • Exposure to Statistics, Machine Learning, NLP, Data Wrangling, Data Visualization & Communication.
  • Bachelors in Computer Science with concentration in Data Science
  • Masters highly preferredJob Band:H5Shift:--1st shift (United States of America)Hours Per Week:40Weekly Schedule:Referral Bonus Amount:0 --> Job Description:Responsible for enabling analysis, modeling, and optimization through producing information products. Involved in the research and development efforts. Primary requirement is not related to traditional programming or systems analysis skills, but to the ability to support the creation of 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. This role often possesses a degree in hard science or another heavy quantitative business or social discipline. Able to work independently or in a team on complex projects. Required Skills/Experience:
    • Design, build, and integrate data from various resources.
    • Assemble large, complex data sets that meet functional / non-functional business requirements.
    • Align data architecture with business requirements.
    • Develop data set processes (big data).
    • Solid communication and presentation skills, including an ability to convey complicated machine learning and experimentation approaches to business partners
    • Robust and efficient Python coding skills
    • Define the data flow, data set, data acquisition and ingestion process.
    • Experience with technologies such as Hadoop, MapReduce, Hive, Pig, Data streaming, NoSQL, SQL, programming, KAFKA, and Cassandra,
    • Exposure to Statistics, Machine Learning, NLP, Data Wrangling, Data Visualization & Communication.
    • Bachelors in Computer Science with concentration in Data Science
    • Masters highly preferredJob Band:H5Shift:--1st shift (United States of America)Hours Per Week:40Weekly Schedule:Referral Bonus Amount:0 Job Description: Responsible for enabling analysis, modeling, and optimization through producing information products. Involved in the research and development efforts. Primary requirement is not related to traditional programming or systems analysis skills, but to the ability to support the creation of 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. This role often possesses a degree in hard science or another heavy quantitative business or social discipline. Able to work independently or in a team on complex projects. Required Skills/Experience:
      • Design, build, and integrate data from various resources.
      • Assemble large, complex data sets that meet functional / non-functional business requirements.
      • Align data architecture with business requirements.
      • Develop data set processes (big data).
      • Solid communication and presentation skills, including an ability to convey complicated machine learning and experimentation approaches to business partners
      • Robust and efficient Python coding skills
      • Define the data flow, data set, data acquisition and ingestion process.
      • Experience with technologies such as Hadoop, MapReduce, Hive, Pig, Data streaming, NoSQL, SQL, programming, KAFKA, and Cassandra,
      • Exposure to Statistics, Machine Learning, NLP, Data Wrangling, Data Visualization & Communication.
      • Bachelors in Computer Science with concentration in Data Science
      • Masters highly preferred Shift:1st shift (United States of America) Hours Per Week:--40

Keywords: Bank of America, Trenton , Data Scientist I, Other , Pennington, New Jersey

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