Location: Irving, TX
Salary: Negotiable
Description:
Title- Data Scientist - IV
Location- Irving, TX (Hybrid)
Duration- Long-term contract
JOB DESCRIPTION:
What you'll be doing...
This candidate will perform analytics, create predictive models, apply machine learning techniques, and/or develop GenAI methods for high-visibility projects, as a member of a collaborative and open team that prides themselves on innovative solutions.
The data scientist will explore information from multiple sources in order to gain maximum insight and provide a competitive advantage.
The "data science" tasks may include statistical analyses, knowledge discovery, data mining, machine learning, and predictive modeling.
Responsibilities will include:
- Performing data studies of new and diverse data sources.
- Conducting statistical modeling and experiment design.
- Discovering "stories" told by the data and present them to peers, software developers, business analysts and business managers.
- Creating and validating predictive models and advanced algorithms; train AI and machine learning algorithms.
What are we looking for:
You'll need to have:
- Bachelor's degree or four or more years of work experience.
- Six or more years of analytics and data science experience
- Strong knowledge of programming and pattern recognition.
- Mastery of statistics, machine learning, algorithms, predictive modeling, and advanced mathematics.
- Knowledge of deep learning and GenAI techniques.
- Experience working with security data.
- Experience working with networking data.
- Experience using SQL (Structured Query Language) and other programming languages (R, C++, Python) for statistical computing, graphics, and data mining.
- Experience with RDBMS, columnar, and NoSQL database technologies.
- Experience with Big Data and related tools such as Hadoop or Spark .
- Familiarity with tools such as R, Rstudio, Python scipy and numpy, Jupyter notebook is desired.
Even better if you have one or more of the following:
- Advanced Degree in one of: Computer Science, Data Science, Physics (or other science), Engineering, or Mathematics/Statistics
- Strong critical thinking skills and the ability to relate them to client business processes and operations.
- Excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management.
- Ability to collaborate with business units, IT, and data scientists across the enterprise to support descriptive and predictive analytics processes.
- Strong exploratory analysis skills and ability to think and research creatively.
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