🌎
This job posting isn't available in all website languages
Experian Careers Job Search
📁
Analytics
📅
192609 Requisition #
Thanks for your interest in the Senior Data Scentist position. Unfortunately this position has been closed but you can search our 259 open jobs by clicking here.
Skillset/Experience:
 
  • MS or PhD in Computer Science, Computer Engineering, Mathematics, Statistics or a related field with solid exposure to Machine Learning and/or Advanced Analytics with 3-8 years of applied experience in predictive analytics and exposure to big data analytics
  • Strong understanding of the financial or risk domain. Desired domain expertise in Credit Risk, Telecom Analytics, Retail analytics
  • Strong coding skills in Python is a must, and in other languages like R and SQL, Hive Sql
  • Hands-on experience with Python libraries - NumPy, Pandas, sklearn
  • Hands-on knowledge of working with scalable platforms for processing large and/or complex multi-source data sets using Hive, Hadoop or Spark (PySpark) is a plus.
  • Comfortable with working on Unix, Windows and databases like Elastic Search and MongoDB
  • Sound knowledge of machine learning concepts. Illustrative machine learning methodologies are:
  • Bagging, Boosting, Regularization, Online Learning, One Hot Encoder etc.
  • Statistical modeling – CHAID, CART, Regressions, SVM, SVD etc.
  • Experience on the text analytics stack – NLP, NLU, LDA, TF-IDF etc.
  • Ability to communicate analytics-based insights to business stakeholders. Independent problem solver comfortable to work in an ambiguous solution space. Strong PPT Skills, Excel 
  • Demonstrated experience in delivering analytics projects in high pressure environments
  • Role based in Singapore with 20% travel in APAC

Refer a Friend

Know someone who would be perfect for this role?  Experian employees can refer a friend for an open role by clicking on the Recommend This Job button and choosing Grab a referral link (you must be logged in to do this).  Once you have copied the link you can share it with your friend via email or social media.  When your friend applies to the role using the link you provided, you will be captured as the referring employee.  Simple as that!


External candidates can also share an open role with a friend by clicking on the Share this Job button.  

My Profile

Create and manage profiles for future opportunities.

Go to Profile

My Submissions

Track your opportunities.

My Submissions
Privacy Policy  |  Online Community  |  Press  |  Investor Relations