Data Scientist

Data Scientist

  • Anywhere

ob Requirements

  • Bachelor’s or Master’s or PhD degree in Science, Engineering, Computer Science, Applied Math / Statistics, or a closely related field
  • Demonstrated ability to solve challenging data science problems by applying or adapting existing computational methods is required.
  • Python Fluency of the Data Science Stack (scikit, pandas, numpy, scipy, statsmodels, matplotlib).  Other scripting languages are possible (R, Julia, Matlab)
  • General Statistical/Machine Learning – supervised, unsupervised, and reinforced learning
  • Specific Techniques: K-Means, Hierarchical Clustering, PCA (Principal Component Analysis), Truncated SVD(Singular Value Decomposition), Naïve Bayes, Regularization (LASSO, Ridge, Elastic Net), Support Vector Machines, Decision Trees, Random Forest, XG-Boost, Boosting, Voting classifiers, cross validation, etc.
  • Software Development Skills (unit testing, debugging, git/subversion)
  • Minimum of 1-3 years solving problems using tools and techniques described below
    • Programming Languages (C/C++, R, Java, Julia, and functional languages)
    • Natural Language Processing (NTLK, TFIDF, W2V, Gensim, Tika, CoreNLP)
    • Deep Learning Experience (Keras, Tensorflow, Theano, others)
    • Computer Vision Experience (OpenCV, convolution, digital filtering)
    • Time Series Analysis (Fourier techniques, cuFFT, fftw, ARIMA models)
    • Parallel Processing (OpenMP, MPI, PVM, CUDA, OpenCL, etc.)
    • Web Development (HTML, CSS, Flask, Django, NodeJS, D3JS)
    • Database Experience (SQL Server, Oracle, MySQL, MariaDB, MongoDB, Cassandra)
    • Big Data Experience (Hadoop, Spark, MapReduce, HBase, Hive, Pig, Sqoop)
    • Visualization Environments (Tableau, Spotfire, Splunk, IDL, PVWave, PowerBI)
  • Should be collaborative, efficient, responsible, creative, flexible
  • Should have a safety oriented mindset
  • Proficient in English (written & verbal)
  • Team player & should demonstrate positive attitude
  • Focus on customer
  • Analytical problem solver
  • Goal oriented & should be good with time management

To apply for this job please visit jobs.exxonmobil.com.

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