Job Details

Senior Data Scientist

Dallas, TX | Full time

Job ID:

1513-001SDS

Duration:

Long Term

Experience:

3-5 years

Career Level:

Senior Level

Compensation:

DOE

Industry:

Information Technology and Services

Job Description

  • Evaluate current data to identify new opportunities for the company – both within and outside of existing products and offerings
  • Develop data science solutions as currently defined by the existing product roadmap
  • Analyze and visualize data to draw insights and validate hypotheses
  • Work with engineers / data scientists to develop prototype solutions
  • Present solutions / findings to senior management
  • Continuous research to stay updated with state-of-the-art Machine Learning tools & solutions
  • Prototype algorithms using Python and/or other languages with appropriate libraries and frameworks
  • Design and develop machine learning algorithms related to different aspects of the business
  • Work with product management team to define priorities
  • Work with engineering team to define parameters for implementation/deployment

Requirements & Preferred Skills:

  • 4 years or more of relevant work experience, of which at least 2 years is as a Data Scientist
  • Excellent communication skills – verbal, written and presentation
  • Experience with a range of statistical, artificial intelligence and machine learning techniques as well as tools used in their implementation
  • Experience working with structured and unstructured data
  • Hands-on experience with one or more major cloud based ML platforms: Azure / GCP / AWS preferred
  • Deep knowledge and experience of feature extraction and various ML algorithms such as regression, classification, clustering, dimensionality reduction
  • Experience working with Time Series data analysis
  • Demonstrable experience in Exploratory Data Analysis, Data Wrangling and Data Storytelling
  • Hands-on Python coding skills and familiarity with common Python tools used in Data Science
  • Deep understanding of model evaluation techniques like cross-validation strategies, ROC, A/B Testing
  • Understanding of model evaluation metrics like AUC, RMSE, log-loss, entropy and statistical concepts like P-value, T-test, F-test
  • Experience working with geo-location data, graph analytics methods, and constrained optimization methods preferred
  • Work with SPSS or similar tool set is helpful for existing production work
  • Exposure to containers is a plus

Education:

Undergraduate or graduate work in Analyics, Computer Science or an appropriate related subject from a top tier University