담당업무

- As a key member of fast growing team, He/she will lead the efforts to grow client engagement

- Directing and executing multiple medium to large analytic projects along with rest of the stakeholders in

  analytics & consulting teams

- Develop analytical solutions, engage clients, develop strategies, testing & monitoring frameworks and in totality

  oversee the deployment of said solutions

- Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques.

  Experience in deep learning will be a significant advantage

- Collaborating with the internal teams to fully understand business requirements and desired business outcomes

- Defining detailed analytic scope and methodology, and creating analytic plan

- Executing on the analytic plan with appropriate data mining and analytic techniques

- Providing thought leadership in both using data to solve business problems and in arriving at innovative

  statistical solutions

- Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables

- Ensuring project delivery within timelines and budget requirements

- Contribute to the development of the team’s analytical skills and business knowledge

- Work as independent contributor mostly and as a team lead if needed by providing guidance to other team

  members when required

- Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field

- Providing subject matter expertise and quality assurance of complex data driven analytic projects

자격요건

- Minimum of 7 years of analytical experience in applying statistical solutions to business problems

- Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science,

  Economics, or equivalent experience preferred

- Hands on experience with one or more data analytics/programming tools such as SAS/Salford

  SPM/Hadoop/R/SQL/Python/Hive

- Proficiency in some of the following statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic

  Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, etc.

- Familiar with project based client engagement (i.e. data preparation, defining data dictionary, setting up the

  process and protocol for the sake of secure data transfer etc.)

- Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross

  functional stakeholders

- Demonstrated ability to innovate solutions to solve business problems 

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