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Quantitative Engineering Manager

Request Technology - Craig Johnson

Posted on Sep 11, 2021 by Request Technology - Craig Johnson

Virginia, VA
IT
Immediate Start
$160k - $200k Annual
Full-Time


*We are unable to sponsor for this permanent Full time role*

*Position is bonus eligible*

Prestigious Enterprise Company is currently seeking a Quantitative Engineering Manager/Data Scientist. Candidate will build and manage sustainable partnerships with business and technology partners to ensure that their needs are met.

Responsibilities:

  • Strive to bring better customer experience with every engagement on major business/technology initiatives.
  • Solve demanding and complicated business problems by applying modern technology and best practices to the engineering of large data sets.
  • Lead Text Analytics and Image Processing R&D efforts and influence business and IT teams to drive decisions.
  • Responsible for designing and implementing AI/ML systems/models as part of our data engineering framework such as converting free form text into insights.
  • Working with IT partners to operationalize the AI/ML models by building ML Ops platform that adheres to model governance.
  • Collaborate with team members and interact across organizational lines to meet business objectives.
  • Solid understanding of business & systems needs and detail requirements to ensure business requirements are translated correctly.
  • Familiarity with Agile Methodology.
  • Experience managing junior data scientists and matrixed resources.
  • Solid understanding of data architecture, data cleansing, metadata management principles.
  • Collaborate with business SMEs and technical SMEs to develop features.
  • Works on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current data environments and processes.
  • Develop Model 2 Service solutions with microservices.
  • Works under limited direction. Independently resolves and develops approach to solutions.
  • Would be required to engage using SAS, SQL, Python, R, PySpark, PIG, HIVE scripts to filter/map/aggregate data in a variety of structured and unstructured formats(eg XMLs, CSVs, Fixed length, JSONs and PDFs).
  • Must be able to handle multiple priorities and meet deadlines.

Qualifications:

  • Doctorate/Master's degree (or Bachelor's degree with equivalent work experience and evidence of exceptional ability) in a quantitative field (eg, Statistics, Data Science, Quantitative Finance, Computer Science, Mathematics, Industrial Engineering or related fields)
  • 8+ years of work experience in Machine Learning, Artificial Intelligence, Data analytics, Data engineering, Data science or related fields;
  • 5+ years of experience in people management
  • Strong predictive data modelling experience is required, with proven application in applying decision trees, regression analysis, deep neural networks, clustering, machine learning, NLP and other data mining techniques
  • Competency or certifications with SAS, SQL, Python, R or other data mining and analytical tools
  • Ability to serve as mentor to more junior members of team
  • Mortgage and operations research experience strongly preferred
  • Familiar with Business Intelligence tools such as Tableau and MicroStrategy
  • Ability to manage multiple high priority demands simultaneously and achieve success in situations with high degrees of variation and complexity
  • Experience handling multiple projects under a program management.
  • Solid understanding of Data Platforms such as Databases, Non-SQL Data Repositories, and Big Data and ML platforms like Tensor flow.
  • Foundational knowledge on AWS Cloud Platforms, AWS AI/ML packages and Microservices.
  • Experience with database, data model and data warehouse concepts.



Reference: 1317816952

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Quantitative Engineering Manager

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