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Geospatial Analytics Specialist Job
Eingestellt von Yoh
Gesuchte Skills: Matlab, Engineering, Client, Java
Projektbeschreibung
TOP SKILLS YOU SHOULD POSSESS:
- Spatial and/or Temporal Statistical Modeling
- Statistical Modeling and Data Mining
- Statistical and Mathematical programming packages (R, Matlab, SAS)
- Spatial Econometric Models, or Topological Data Analysis
- Strong organizational, interpersonal, and written communication skills
WHAT YOU'LL BE DOING:
- Use the latest mathematical innovations to propose analytic solutions that accommodate emerging trends in data quantity and quality.
- Design and test algorithms and conduct prototyping to evaluate possible scenarios leveraging computational and statistical techniques for the development of novel approaches for high-throughput data analyses.
- Successful candidate will have the opportunity to work collaboratively with interdisciplinary scientists internally and externally.
- Organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions deliver value.
WHAT YOU BRING TO THE TABLE:
- PhD or PhD completion in the next 6 months in Mathematics, Statistics, Spatial Statistics, Geoinformatics, Environmental Modeling, Engineering, Computer Science, or Computational Biology
- Proficiency in Spatial and/or Temporal Statistical Modeling
- Experience with statistical modelling and data mining
- Experience analysing and presenting complex data and proven problem solving abilities
- Three (3+) years experience with Statistical and Mathematical programming packages (R, Matlab, SAS)
- Strong publication record in leading scientific journals
- Strong organizational, interpersonal, and written communication skills
- Ability to work in a Matrix environment, leading & influencing people at varying levels of responsibility
- Desired Skills:
- Three (3+) years. experience post PhD building Spatio-Temporal models and predictive models is highly desired
- Proficiency in Spatial auto-correlation modelling, building spatial econometric models, or Topological data analysis
- Pattern Recognition (Conditional Random Fields, Hidden Markov Models, Maximum Entropy Markov Models, etc)
- Proficiency in Machine learning algorithms and concepts (Ensembles, Deep Learning, SVM, etc.)
- Experience in stochastic modelling and simulation
- Experience working with agricultural/biological scientific data is highly desired
- Drive for translating business problems into research initiatives that deliver business value
- Creativity in defining challenging exploratory projects
- Ability to code in Java, C, Hadoop, or MapReduce
CALL ME NOW TO DISCUSS
RECRUITER: SCOTT BENNEKEMPER
Yoh, a DayJ2W: ENG; J2W: INFOTECH
TAX TERM: CON_W2J2WBRSTL
Ref:
SFSF: REN
Projektdetails
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Einsatzort:
Missouri, Vereinigte Staaten
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Projektbeginn:
asap
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Projektdauer:
Keine Angabe
- Vertragsart:
-
Berufserfahrung:
Keine Angabe
Geforderte Qualifikationen
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Kategorie:
IT Entwicklung, Ingenieurwesen/Technik