DataScience Engineer

Company:  Dice
Location: Gaithersburg
Closing Date: 23/10/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Job Description:

Contractor - Sr Engineer - Data Science for data science innovation. This position will be located onsite at our headquarters in our Gaithersburg facility, MD.

Responsibilities:

  1. Provide technical leadership and identify solutions for complex problems.
  2. Must be able to understand how to design and build a deployable application that uses any ML model that they design and recommend.
  3. Recommend, track, and report on the business goals and the resulting technical goals, projects, and technical tasks.
  4. Perform proof of concepts, identify initial data wrangling, and then provide guidance for the development of the productionized version of the capabilities.
  5. Analyze data and build predictive models based on stakeholder input.

Basic Requirements:

  1. Bachelor's degree in computer science, Data Science or related technical field.
  2. 10+ years of technical experience doing data science in a Telecommunications company.
  3. 5+ years of experience performing data science and programming.
  4. 5+ years of experience using AWS Cloud technology.
  5. 5+ years of experience programming using C/C++, Java, Python, Go, and Pandas.

Preferred Qualifications:

  1. Master's degree in data science.
  2. Knowledge of relational databases such as MySQL, Snowflake, and BigQuery.
  3. Must have strong DS design knowledge and experience in some ML/Ops/DevOps.
  4. Knowledge of building machine learning models using Scikit-Learn, TensorFlow, Keras, or other open-source libraries.
  5. Knowledge of data visualization tools and libraries in Python/R (Shiny preferably) or Tableau.
  6. Knowledge and experience in leading analysis efforts for large operational networks.
  7. Advanced analytical and problem-solving abilities.
  8. Ability to break down and understand complex business problems, define a solution, and implement it using advanced quantitative methods.
  9. Identify innovative solutions that apply data science, AI/ML technology to the problem so that a development team can then take that and build an application that leverages the DS approaches.
  10. Familiarity with software version control with Git.
  11. Strong work ethic and intellectual curiosity.
  12. Team player with excellent communication and problem-solving skills.

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