Data ScientistVisa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Tax Terms: W2, 1099 Corp-Corp or 3rd Parties: Yes Data Scientist Fort Worth, TX Long TermThe Data Scientist will assist in our efforts to expand our capabilities within Positive Train Control analytics. This role will use analytical, statistical, and programming knowledge to collect, analyze, and interpret large data sets.
Experienced candidate needs to be innovative and show proven ability to work independently on big projects. Strong hand on experience on Har, Python, SparkMust Haves:• Bachelor's degree from an accredited university in Computer Science, Statistics, Applied Mathematics or related field• 8+ years of experience in data analytics, data mining, and statistical analysis• Excellent pattern recognition and predictive modeling skills• Must have a clear understanding and implementation of different machine learning algorithms such as logistic regression, decision trees, SVM, Naïve Bayes, KNN, neural networks, gradient descent, Random forest, ensemble gradient boost, etc.• Experience with Microsoft Azure is a plus• Experience working with structured and unstructured data• SQL experience is a must• Ability to understand business requirements, collaborate with team, provide ideas, and clearly present new findings and solutions• Strong understanding of basic statistics, linear algebra, and calculus• Programming background and experience in Python and its libraries is required• Able to build analytics solution from scratch. Includes data exploration, extraction, cleaning, transformation, modeling, testing, and implementation• Expertise in building machine learning algorithms using at least one of the following languages: Python, R, and Scala• Exposure to any reporting tool. Tableau is preferred.• Experience working with natural language processing and text mining• Ability to relate business use cases to appropriate technologies required to implement them• Open to learning new tools and technologies• Able to adapt to fast-paced working environment• Worked on big data technologies such as Hadoop, Spark, and its ecosystem. (Pyspark is a plus)Knowledge on streaming is a bonus, especially with Kafka