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EY Data Scientist - Senior Associate in Philippines

Data Scientist - Senior Associate

Consulting

Requisition # PHI0036B

Post Date Feb 05, 2019

JOB SUMMARY / KEY PURPOSE

Responsible for providing support in ensuring that objectives of the projects and engagements for ITA practice is met. Senior Associates are expected to conduct the detailed project activities, provide guidance to, and conduct first level review on the work of, his/her staff during the engagement.

JOB RESPONSIBILITIES

  • Apply data mining, machine learning, and statistical analysis techniques like hypothesis testing, segmentation and modelling to analyze large amounts of data

  • Help clients make data-driven decisions through (a) analysis of structured and unstructured data sets, (b) build out predictive models and (c) advising our clients on data mining leading practices

  • Design and develop solutions leveraging big data technology (Hadoop, Cassandra, Spark, Neo4j) to ingest, process and analyze large, disparate data sets to exceed business requirements

  • Unify, enrich and analyze customer data to derive new insights and opportunities

  • Leverage in-house data platforms, as needed, and recommending and building new data platforms/solutions as required to exceed business requirements

  • Conduct research and collection of relevant information and knowledge from internal resources to provide value-adding recommendations to clients

  • Supervise and guide staff in the preparation of management reports

  • Support Managers in proposal development

  • Attend meetings with clients to understand their needs, and offer relevant insights and solutions

  • Attend and participate in internal trainings

  • Complete the required and assigned web-based learnings

  • Prepare time reports in a timely manner

  • Develop positive relationship with peers, supervisors and mentors/counselors who can provide advice and support

COMPETENCY REQUIREMENTS

Education

Bachelor’s Degree in Engineering, IT, Computer Science, Statistics

Relevant Experience

At least five (5) years of work experience in data science- related role (data analytics, data mining, and machine learning).

Certificates, Licenses, Registration

Data Science Professional Certification

Core Competencies

  • Able to work effectively and efficiently in a team

  • Capable of producing quality outputs with minimal supervision

  • Able to meet tight deadlines and project timeline, and is open to working beyond office hours

  • Able to lead and coach his/her teammates

  • Capable of reviewing output of staff

  • Flexible and is willing to work in client sites within or beyond Metro Manila, and is open for secondment in other EY offices

  • Has good attitude towards work and has a strong desire to learn

  • Interested in pursuing a long-term career in ITA practice

Functional

  • Project management skills

  • Able to organize project activities and schedules in line with the approach and methodology

  • Able to monitor the accomplishment of action items

  • Able to prioritize project activities and workload accordingly when deadlines are tight

  • Able to understand and plan for the client’s expectations

  • Experience in working on projects utilizing Agile project methodologies

  • Experience in IT operations, software development and application and infrastructure support

  • Able to respond promptly to all client requests while adhering to review procedures

  • Analytical skills

  • Experience in conducting risk analysis and management

  • Experience in performing data-driven analysis and synthesis, to draw insights

  • Able to synthesize data enabling accurate identification of client issues and communicate clear explanations and suggested actions to the project team

  • Technology skills

  • Experience in the use of R, C, Java or Python programming languages, and associated machine learning libraries/packages

  • Experience in multiple tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, Hbase, Cassandra, etc.)

  • Communication skills

  • Able to communicate effectively with client counterparts through structured questioning, careful listening and delivery of fact-based findings

  • Able to present project outputs with clients

  • Able to translate complex information into non-technical, easy to understand language

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