Data Scientist - Analytics and Algorithms | Schlumberger

Job Details

Data Scientist - Analytics and Algorithms

Kuala Lumpur - Malaysia

Entry level Data Scientist. The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
 
Responsibilities
  • Analyze raw data: assessing quality, cleansing, structuring for downstream processing
  • Design accurate and scalable prediction algorithms
  • Collaborate with engineering team to bring analytical prototypes to production
  • Generate actionable insights for business improvements
 
Qualifications
  • Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
  • 0 - 3 years' of experience in quantitative analytics or data modeling
  • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
  • Fluency in a programming language (Python, C,C++, Java, SQL)
  • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
 
 
Schlumberger is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or other characteristics protected by law.
 
Please be vigilant to fraudulent activity if you receive a communication or e-mail regarding potential employment, or an invitation to submit applications to a public email address, supposedly from Schlumberger. Please do not send money or pass any personal details to anyone suggesting they can provide employment with us. We will never ask potential job-seekers for any sort of advance payment as part of the recruiting or hiring process. For more information please visit: https://careers.slb.com/fraud.
 

Data Scientist - Analytics and Algorithms
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