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  • Job reference: RMS0218546

Data Scientist Manager

  • Sector: Infrastructure & Construction
  • Location: Thailand
  • Job type: Permanent
  • Date posted: 28/10/2019
  • Duration: permanent
This vacancy has now been filled but please feel free to use the links below to send us your CV or view similar jobs.

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The Role:
Framing Business and Analytics Problems
*Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Selecting Data and Methodology
*Assess the effectiveness and accuracy of new data sources and data gathering techniques, as well as resolve data issues and remove blockers.
*Participate in various testing activities related to data and tools
*Gather and share knowledge and expertise on relevant data sources and their evolution in ecosystem
*Lead in designing and developing data quality reports
*Interpret analysis results and data report to produce savvy insights for business partners and clients
*Assess results of data investigation and convert them into possible opportunities analysis/innovation scenarios

Building, Deploying, and Managing Models
*Evaluate the existing infrastructure & processes to generate recommendations and solutions for improvement and produce action plans for system improvement
*Own two or more analytically driven products and be responsible for their roadmap development, implementation and monitor business impact
*Manage the design, development, and continuous improvement of complex healthcare data systems, tools, reports and other deliverables
*Design metadata requirements and manage models in production
*Mine and analyze data from company databases to drive optimization and improvement of health product and solutions development, and supporting health business strategies.
*Develop custom data models and algorithms to apply to data sets, and participate in various testing activities related to data and tools.
*Use predictive modeling to increase and optimize customer experiences, improve health outcomes for customer, revenue generation, and targeting any other business outcomes.
*Develop company A/B testing framework and test model quality.
*Coordinate with different functional teams to implement models and monitor outcomes.
*Develop processes and tools to monitor and analyze model performance and data accuracy.
*Deliver and monitor insights consumption in the business end.

Qualifications:
*Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the minimum two or more experiences in following software/tools
*5+ years of experience manipulating data sets and building statistical models.
*Strong problem solving skills with an emphasis on product and solution development.
*Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
*Experience working with and creating data architectures.
*Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
*Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
*Excellent written and verbal communication skills for coordinating across teams.
*A drive to learn and master new technologies and techniques.

About Fircroft:
Fircroft has been placing people in specialist technical industries for approaching half a century, focusing on mid to senior level engineers for contract and permanent roles worldwide. By applying for this job you give consent for Fircroft to contact you, via email & telephone, to discuss your application along with future positions and Fircroft's services.

Fircroft is registered as a Data Controller with the Information Commissioner as required under the General Data Protection Regulation 2016/679. Fircroft will only process your personal data for the specific purposes of managing your application.

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