Data Scientist

Data Scientist

Client: BSNF

Role: Data Scientist

Location: Dallas, TX

Duration: Full Time Permanent

Need local resumes to Fort Worth TX, or willing to move to Dallas upon job confirmation. 50% onsite required. Not able to increase the rate at this time. Digital Minds is seeking a qualified Data Scientist to work with IT professionals and business analysts to provide services in support of the development of BNSF's future state data architecture and application modernization activities - 50% onsite, FTW. The 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. Candidates should be very comfortable working with unstructured data and be able to demonstrate their abilities.

Required Qualifications:

• Able to adapt to the fast-paced working environment.
• Comfortable structuring text data utilizing regex.
• SQL experience is a must.
• Programming background and exposure to python are required.
• Able to build analytics solutions from scratch. Includes data exploration, extraction, cleaning, transformation, modeling, testing, and implementation.
• 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, etc.
• Expertise in building machine learning algorithms using at least one of the following languages: Python, R and Scala

Additional Preferred Qualifications:

• Bachelor's degree from an accredited university in Computer Science, Statistics, Applied Mathematics, Analytics, or related field.
• 3 years+ experience in data analytics, data mining, and statistical analysis.
• Excellent pattern recognition and predictive modeling skills.
• Experience working with structured and unstructured data.
• Ability to understand business requirements, collaborate with the team, provide ideas, and clearly present new findings/ solutions.
• Strong understanding of basic statistics, linear algebra, and calculus.
• Exposure to any reporting tool. Tableau is preferred.
• Experience working with natural language processing and text mining.
• Open to learning new tools and technologies.

Bring your own laptop preset up with Python downloaded (anaconda environment, python 3.8) to do the following:

• Live Python assessment which tests the above-required qualifications
• SQL questions about querying data
• Technical questions about data science application