Data Scientist

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Location:

  • Posted on Apr 1, 2025
  • Tampa, Florida, United States

AREA:

Information Technology

Empowering people who build the future.

BASIC FUNCTION (Primary Purpose):

Build models and perform analysis with advanced Analytics techniques delivering models and extract relevant data to solve analytical problems. Good understand of descriptive statistical modeling and algorithms, Machine learning algorithms, Modeling dataset building, Optimization, Data visualization, Pattern, cluster, segmentation analysis.

 

Primary Duties & Responsibilities:

%

Description of duty/responsibility

80%

  • Performs research, analysis, and modeling on organizational data.
  • Ensure Analytics model quality assurance and validate them (peer validation)
  • Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
  • Define model monitoring criteria
  • Provides findings and analysis for use in decision making

20%

  • Develop Analytics best practices (models, standards, tools)
  • Manage Analytics project pipeline and track Analytics impact on business
  • Monitor market
  • Manage idea generation for patent development

 

SCOPE:

Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making. design, build and implement analytical solutions. Work closely with project teams and act as a Data Science & Advanced Analytics expert. Overall role in helping to drive global improvements based on qualitative data and by investigating various topics and sharing insights to a broader audience.

 

 

Qualifications and Educational requirement(s):

  • Bachelor’s degree in a related area and 3 years of experience
  • Extensive knowledge of industry perspective and ability to translate business needs into data
  • Analytical skills
  • Descriptive statistical modeling and algorithms, Machine learning algorithms, Modeling dataset building, Optimization, Data visualization, Pattern, cluster, segmentation analysis
  • Experience with analytical tools and languages - E.g. Python, SageMaker, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, PowerBI, Alteryx, Qlikview, Rapid Miner, Visual Basic, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, SQL language or SQL-like

Gerdau believes in equal employment opportunity related to all employees and applicants for employment. It is the policy of Gerdau that there will be no discrimination against any employee or applicant for employment on the basis of race, religion, color, national origin, citizenship, marital status, sex, age, sexual orientation, genetic information, gender identity, veteran status, disability, or other legally protected status. All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship.  

If you are vision-impaired or have some other disability under the Americans with Disabilities Act / Accessible Canada Act or a similar law, and you wish to discuss potential accommodations related to applying for employment at Gerdau, please contact our Talent Acquisition Team at (866)-788-2798 or recruiting@gerdau.com

Sample Career Path:

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