담당업무

Strategy & Planning

- Work with cross departmental team to define metrics, guidelines, and strategies for effective use of algorithms

  and data.

- Work closely with statisticians to identify, design, and build appropriate datasets for complex experiments.

- Create data mining and analytics architectures, coding standards, statistical reporting, and data analysis

  methodologies.

- Establish links across existing data sources and find new, interesting mash-ups.

- Coordinate data resource requirements between analytics team and engineering teams.

- Work with product managers, engineers, and analytics team members to translate prototypes into production

- Assist in the development of data management policies and procedures.

- Develop best practices for analytics instrumentation and experimentation.

Acquisition & Deployment

- Conduct research and make recommendations on big data infrastructure, database technologies, analytics tools,

  services, protocols, and standards in support of procurement and development efforts.

- Drive the collection of new data and the refinement of existing data sources.

Operational Management

- Develop algorithms and predictive models to solve critical business problems.

- Develop tools and libraries that will help analytics team members more efficiently interface with huge amounts

  of data.

- Analyze large, noisy datasets and identify meaningful patterns that provide actionable results.

- Develop and automate new enhanced imputation algorithms.

- Create informative visualizations that intuitively display large amounts of data and/or complex relationships.

- Provide and apply quality assurance best practices for data science services across the organization.

- Develop, implement, and maintain change control and testing processes for modifications to algorithms and

  data analytics.

- Collaborate with database and disaster recovery administrators to ensure effective protection and integrity of

data assets.

- Manage and/or provide guidance to junior members of the analytics team.

자격요건

- Extensive experience solving analytical problems using quantitative approaches.

- Comfort manipulating and analyzing complex, high-volume, high-conditionality data from varying sources

- Familiarity with relational, SQL and NoSQL databases.

- Expert knowledge of statistical analysis tools

- Experience with very large datasets a must.

- Knowledge of map/reduce framework (hive/pig other tools for accessing data in Hadoop/HBase cluster systems)

  a plus.

- Experience in programming with Java, .Net, C++

- Project management experience.

- Good understanding of the organization’s goals and objectives.

- Knowledge of applicable data privacy practices and laws.

기타

- 업종 : 자동차부품/타이어

- 직종 : 인공지능(AI)/빅데이터

- 근무지 : 서울

- 직급 : 과장급

문의 및 지원

- 유니코써치_송선영컨설턴트 / 02-551-2314 / [email protected]