Job Description :
Hello,
Greeting of the day,
This is from “Spar Information Systems”, one of America’s premieres staffing organization. This mail is in regards to a career opportunity with one of our clients, we are currently looking for tech savvy professionals with experience as an “Data Scientist” @ Fort Worth, TX – Long Term - BNSF.
Job Title : Data Scientist
Location : Fort Worth, TX
Duration : Long Term
Client : BNSF
NOTE: We have a Weekend Drive on this Saturday (Oct/20th) from 9:00 AM CST to 5:00 PM CST.
Venue Details:
Tech Mahindra (Americas) Inc.
4965 Preston Park Blvd., Suite 500, Plano, TX 75093, USA
Start Time: 9:00 AM CST to 5:00 PM CST
What You Will Be Doing:
1. The Data scientist will assist in our efforts to expand our capabilities within Positive Train Control analytics.
2. This role will use analytical, statistical, and programming knowledge to collect, analyze and interpret large data sets.
3. Experienced candidate needs to be innovative and show proven ability to work independently on big projects.
Must Haves:
Bachelor’s Degree from an accredited university in Computer Science, Statistics, Applied Mathematics or related field.
5 years+ 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, etc.
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/ solutions.
Strong understanding of basic statistics, linear algebra and calculus.
Programming background and exposure to python 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.
Open to learn new tools and technologies.
Able to adapt to fast-paced working environment.
Worked on big data technologies such as Hadoop, Spark and its eco system. (Pyspark is a plus
Knowledge on streaming is bonus, especially with Kafka.