Data Scientist
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.