Job Description:
Responsibilities: -Communicate project activities, statuses, accomplishments, and strategic direction with executive management both in oral and written communication. -Communicate the results and methodology effectively within the team and to external stakeholders. -Evaluate new hardware and software products and technologies and participate in project assessments as necessary. -Implement and evaluate proposed model/methodology. -Implementing Packaged Solutions: Configuration & Testing: In-depth knowledge of a particular Packaged Solution and of the business processes the package supports. Configuration & Testing: Customize the package for local needs using proprietary APIs, tools, and scripting languages. Configuration & Testing: Develop and validate system requirements and specifications. Configuration & Testing: Design schemes, architecture and models and create and test prototypes. Configuration & Testing: Develop, or acquire and customize and test system/application components and interfaces. Configuration & Testing: Integrate subsystems/application unites and conduct systems/applications level testing and validation. Configuration & Testing: Develop and implement system/ application release and testing. -Promote and participate in professional self-development to stay up to date with new technologies and development approaches within the industry. -Propose accuracy measures and validation criteria for the model. -Propose statistical or machine learning based model/methodology to solve the problem. Work with product managers, partners and peers to formulate the data analytics problem. Qualifications: Educational background in relevant field (Computer Science, Applied Math, Statistics, Operations Research, Physics, Computational Biology, or other quantitative fields) or has acquired core software development and machine learning skills and knowledge via practical experience Generally has 3+ years of relevant experience (machine learning and software engineering) Proficiency in statistical analytics and machine learning algorithms especially for supervised and unsupervised methods Proficiency in at least one high level programming language like Java, Scala, C++ or Python (NumPy, SciPy, Pandas) Proficiency in at least one statistical modeling tools from among R, Matlab or Weka Any experience with Hadoop/YARN/Mesos/Spark/Elasticsearch/Kafka and building applications end-to-end
Additional Info:
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Responsibilities: -Communicate project activities, statuses, accomplishments, and strategic direction with executive management both in oral and written communication. -Communicate the results and methodology effectively within the team and to external stakeholders. -Evaluate new hardware and software products and technologies and participate in project assessments as necessary. -Implement and evaluate proposed model/methodology. -Implementing Packaged Solutions: Configuration & Testing: In-depth knowledge of a particular Packaged Solution and of the business processes the package supports. Configuration & Testing: Customize the package for local needs using proprietary APIs, tools, and scripting languages. Configuration & Testing: Develop and validate system requirements and specifications. Configuration & Testing: Design schemes, architecture and models and create and test prototypes. Configuration & Testing: Develop, or acquire and customize and test system/application components and interfaces. Configuration & Testing: Integrate subsystems/application unites and conduct systems/applications level testing and validation. Configuration & Testing: Develop and implement system/ application release and testing. -Promote and participate in professional self-development to stay up to date with new technologies and development approaches within the industry. -Propose accuracy measures and validation criteria for the model. -Propose statistical or machine learning based model/methodology to solve the problem. Work with product managers, partners and peers to formulate the data analytics problem. Qualifications: Educational background in relevant field (Computer Science, Applied Math, Statistics, Operations Research, Physics, Computational Biology, or other quantitative fields) or has acquired core software development and machine learning skills and knowledge via practical experience Generally has 3+ years of relevant experience (machine learning and software engineering) Proficiency in statistical analytics and machine learning algorithms especially for supervised and unsupervised methods Proficiency in at least one high level programming language like Java, Scala, C++ or Python (NumPy, SciPy, Pandas) Proficiency in at least one statistical modeling tools from among R, Matlab or Weka Any experience with Hadoop/YARN/Mesos/Spark/Elasticsearch/Kafka and building applications end-to-end
Requeriments :
Skills :
- Machine Learning
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in Matlab
- Programming in R
- Software Design
- Statistics
Areas :
Additional Info:
[Click Here to Access the Original Job Post]