Lead Data Scientist II - Singapore - FEDERAL EXPRESS (SINGAPORE) PTE LTD

    FEDERAL EXPRESS (SINGAPORE) PTE LTD
    FEDERAL EXPRESS (SINGAPORE) PTE LTD Singapore

    2 weeks ago

    Default job background
    Description
    Roles & Responsibilities

    Job Description & RequirementsJob Description & Requirements


    Level Expectations

    Level I:

    Expert with well-developed knowledge and skills in the function; leads the project forward with subject matter expertise; drive cross-functional and/or regional projects; serves as a role model for using and directing design thinking during project delivery; has an agile mindset and actively applies agile methods.


    Level II:

    Expert with advanced knowledge and skills in the function; combines analytics solutions to make them more all-encompassing, regional, or global; Manages regional and/or global projects and ensures prompt delivery of deliverables in complete autonomy; expands ideation using innovative techniques, conducts exploratory analysis with the end-goal in mind; acts as product manager and actively applies agile methods.

    Involves providing unique, high impact, technical or expert advice to directors or officers within a region or internationally.

    Data Science; Advanced analytics and technology innovation advisory; understand strategic business objectives and define requirements for advanced analytics; design, develop and implement data science tools; methodologies and best practices; use statistical and mathematical programming for machine learning and predictive analytics; natural language processing; information retrieval; network simulation & optimization; process automation; application prototyping; project management; data presentation and storytelling; business case development.


    Education:
    Master's degree or equivalent in Statistics, Business Analytics, Actuarial Studies or similar discipline


    PhD Degree preferred Language:
    Proficiency in English.
    Tell employers what skills you have

    Information Retrieval
    Machine Learning
    Product Innovation
    Process Automation
    Actuarial
    Autonomy
    Natural Language Processing

    NLTK
    Predictive Analytics
    Business Analytics
    Design Thinking
    Statistics
    Data Science
    Storytelling
    Directing
    Django