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Data Scientist II (Remote) Job

Date: Jul 24, 2021

Location: Duluth, GA, US

Company: AGCO

      Job Summary

     This role will work with business leaders and functional domain experts to formulate use-cases, turn them into data requirements

     and structure end to end analytics-based solutions. The primary focus will be in applying data mining techniques, statistical analysis,

     and machine learning models to build and deploy high quality prediction systems integrated with our applications and services.  

     This position can be remote.

 

    Job Responsibilities

    • Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision

       making.

    • Engages with business leaders and functional domain experts to map business ideas & opportunities into analytical use cases and

       defines an implementation strategy

    • Uses statistical analysis and machine learning techniques to carry out descriptive, diagnostic, predictive and prescriptive analytics

       use cases

    • Determine appropriate analytics technique for addressing classes of business problems. Assesses feasibility of analytics use cases

       in POC studies

    • Maps analytical insights into actionable recommendations. Uses data visualizations and storytelling to explain analytical KPI‘s and

       to make them relevant to the business

    • Acts as a change agent to drive data driven decision making within the organization

    • Plans & manages activities of data science teams and project tasks

    • Possesses clear understanding of data mining techniques, ranging from regression analysis, cluster analysis, decision trees, neural

       networks and Bayesian methods to optimization and stochastic analysis.

    • Works with cloud & data engineers to deploy & integrate analytics based solutions using scalable, performant and cost efficient

       machine learning pipelines

 

Minimum Qualifications Required

• Bachelor’s Degree in Statistics, Data Science, Mathematics, Computer Science, Economics or a relatedfield.

• 0-5 years of related work experience.

• Advanced analytics tools (Python, R, SAS, SQL etc.) to carry out statistical and machine learning analysis

• Use big data computing frameworks for processing of large data volumes (AWS Glue, EMR and

   Sagemaker)

• Ability to create repeatable, automated processes & data pipelines.

• Familiar with cloud technologies for model development and deployment.

 

 

 

 

 

 


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