Sr. Data Scientist in Dallas, TX at Prestige Staffing

Date Posted: 8/14/2019

Job Snapshot

  • Employee Type:
    Contractor
  • Location:
    Dallas, TX
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    8/14/2019

Job Description

JobID: 22260

Location: Plano, TX

Job Type: Contract-to-hire

Our client is a highly successful engineering IT services company known for its transformative cloud solutions for large retail and technology companies. Headquartered in San Ramon, California, they have offices throughout the US and Eastern Europe and are currently searching for a Senior Data Analyst to join their Dallas team. Main duties will include developing and operationalizing AI/ML models and advanced analytic modeling.

Requirements:

  • PhD/MS in Data Science or equivalent majors
  • 3+ years of hands on experience with proven track record in developing and operationalizing AI/ML models at scale for predictive, prescriptive, and cognitive analytics
  • 3+ years of experience in Data wrangling, advanced analytic modeling, and processing/analyzing structured, semi-structured, and unstructured data
  • 3+ of years of experienced in ML techniques an algorithms: Generalized Linear and Non-Linear Models, Time Series Analysis (forecasting), Random Forest, Gradient Boosted Machines, Text analytics (NLP & Text Mining), Image Processing, Neural Networks, and Unsupervised Methods (Dimensionality Reduction, Clustering, etc.)
  • 2+ years of experience in Hadoop eco system, Hive, Spark, Java or R or Python
  • Experience with data visualization tools, such as ggplot, matplotlib, bokeh, plotly. RShiny.
  • Strong skills in machine learning frameworks such as Scikit-Learn, H2O, Keras, TensorFlow
  • Highly analytical, motivated, decisive leader with solid critical thinking skills
  • Strong communication and organizational skills – should be able to juggle multiple projects at the same time
  • Excellent in applying statistics algorithms/skills, such as identifying distributions, statistical testing, multi-variate regression