Share this Job
Email similar jobs to meEmail similar jobs to me

Date: Nov 8, 2017

Location: Singapore, SG

Company: MSD

Requisition ID: QUA006178

The Data Scientist will use information and models to gain insight into business
performance, support fact-based decisions, and communicate opportunities for
sustained improvement. The candidate will be responsible for developing
solutions using statistical and data mining models, working closely with
existing analytics teams.



More specifically, the
data scientist is expected to understand the alignment between business
strategy and information requirements, and participate in all phases of
projects, including ideation, business case development and project definition,
data discovery and preparation, model development and/or data mining, and
finally assessing options and making recommendations.



The Data
Scientist will work on a variety of projects to help
our business by  increasing revenue,
reducing cost and risk, and improving cash flow, compliance, policies, process
and service levels.   



 



Primary Activities



 




  • Find data to support analytical
    projects, and prepare data to support the development of information
    models to prove or disprove project hypotheses.

  • Use tools such as SAP BI, Spotfire, SAS
    and SPSS to design and develop operational reports and advanced analytical
    models (forecasts, simulations, and optimizations).  Draw conclusions, options, and
    recommendations.

  • Make recommendations that aid in the realization
    of value and sustaining analytical activities, which seek to embed
    analytical tools within business processes.

  • Stay current with industry best
    practices and trends.

Qualifications

We are seeking professionals with the following
qualifications, skills and Experience:



 


Education Minimum Requirement:


 


  • MSc
    Degree or BSc Degree in a quantitative field such as Mathematics,
    Statistics, Information Technology (i.e. Analytics/Computer
    Science/Information Systems), Physics, Supply Chain Management, Operations
    Research, Engineering, Finance
  • Strong
    combined background with dual majors are preferred, with less than 2 years
    of relevant work experience with demonstrated expertise in using
    information to analyze business performance, identify opportunities and
    solve problems. Fresh graduates with demonstrated Analytical competencies
    will be considered.


 


Desired Skills & Experience:


  • An analytical problem solver: Strong
    analytical and problem-solving skills, and ability to work with incomplete
    or imperfect data
  • A statistician: Ability to build and
    interpret probabilistic models of complex, high-dimensional systems is a
    plus. Experience with Regression Models, Neural Networks, Cluster
    Analysis, Structural Equations Models, formulating and solving OR models
    like linear (large-scale), mixed integer, non-linear and evolutionary
    programming methods.
  • Knowledge of natural language
    processing, text mining, Random Forest and Ensemble Models is a plus.
  • A data visualizer and coder: Ability to
    identify and visualize relationships within large, not obviously related
    data sets. Advanced knowledge of tools such as SQL, Oracle, Spotfire,
    Tableau, R, SAS, SPSS.
    • Persistent and driven: Demonstrated
      characteristics of a forward thinker and self motivator that thrives on
      new challenges and adapts to learning new knowledge.
    • Collaborative: demonstrated experience
      applying excellent oral and written communication and interpersonal skills
      working with global and cross-functional teams towards common goals,
      realizing that the best results come from the combined efforts of diverse
      teams.
    • Participants of data science
      competitions and hackatons (i.e. Dextra, Kaggle, KDD Cup) are highly
      regarded. 


Job: Quantitative Sciences Generic
Other Locations:
Employee Status: Regular
Travel: Yes, 5 % of the Time
Number of Openings:
Shift (if applicable):
Hazardous Materials:
Company Trade Name: MSD


Job Segment: Scientific, Database, Engineer, Scientist, Oracle, Engineering, Technology, Science