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Data Science Analytics

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Job Title: Data Science Analytics
Location: Singapore, Singapore
Company: Corteva
Industry Sector: Agribusiness
Industry Type: Plant & Soil Sciences, Seed and Biotechnology
Career Type: IT/Software Development
Job Type: Full Time
Minimum Years Experience Required: N/A
Salary: 0
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  • Work with stakeholders throughout the organizationto identify opportunities for leveraging company data to drive businesssolutions.
  • Mine and analyze data from company databases todrive optimization and improvement of product development, marketing techniquesand business strategies.
  • Communicate outcomes and report findingsthrough data visualization tools like Tableau, D3.js or ggplot.
  • Assess the effectiveness and accuracy of newdata sources and data gathering techniques.
  • Use existing data models and algorithms toapply to data sets.
  • Use predictive modelling to increase andoptimize customer experiences, revenue generation, ad targeting and otherbusiness outcomes.
  • Develop company A/B testing framework and testmodel quality.
  • Coordinate with different functional teams to implementmodels and monitor outcomes.
  • Monitor and analyze model performance and dataaccuracy 


  • 5-7 years of experience manipulating data, hasa Bachelors or Masters in Statistics, Mathematics, Computer Science or anotherquantitative field.
  • Strong problem-solving skills with an emphasison product development.
  • A drive to learn and master new technologiesand techniques.
  • Experience visualizing and presenting data forstakeholders using Tableau etc
  • Knowledge of the appropriate query language(SQL, MongoDB, etc.) is necessary for effectively handling data.
  • R usage for exploratory data analysis (EDA) andvisualization. Tidyverse or other tools for quickly transforming data prior toexploration.
  • Python usage for advanced machine learning anddeep learning with high-performance GPUs. Utilizing deep learning frameworks availablein Python and deploying through tools provided in a GPU Cloud.
  • Experience working with and pulling data fromvarious data architectures.
  • Knowledge of a variety of machine learningtechniques (clustering, decision trees learning, artificial neural networks,etc.) and their real-world advantages/drawbacks.
  • Knowledge and experience in statistical anddata mining techniques: GLM/Regression, Random Forest, Boosting, Trees, textmining, social network analysis, etc.
  • Great knowledge of statistics and quicklygetting a grasp of unknown data.
  • Experience analyzing data from 3rd partyproviders: Google Analytics, Site Catalyst, Coremetrics, Adwords, CrimsonHexagon, Facebook Insights, etc.
  • Experience querying data from business systems suchas SAP
  • Experience with distributed data/computingtools: Hadoop
  • Excellent written and verbal communicationskills for coordinating across teams 

To apply please click on APPLY TO THIS POSITION
Job Post Date: 04/14/19
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