Data Scientist III- #26-23255

US Tech SolutionsLocation, CA

About The Position

The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The role involves applying knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. The Data Scientist will design, develop, and evaluate predictive models and advanced algorithms, generate and test hypotheses, and analyze product experiment results. They will also collaborate with product engineers to translate prototypes into new products and provide Business Intelligence (BI) and data visualization support for dashboards and ad-hoc requests.

Requirements

  • Experienced in programming languages such as Python and/or R (Python preferred).
  • Experienced in big data tools such as Hadoop.
  • Experienced in data visualization tools such as Tableau.
  • The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
  • Experience working with large datasets.
  • Master of Science degree in computer science or in a relevant field.
  • 5-7 years of relevant experience required.

Responsibilities

  • Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
  • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
  • Design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
  • Generate and test hypotheses and analyze and interpret the results of product experiments.
  • Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
  • Provide Business Intelligence (BI) and data visualization support, which includes, but is not limited to, support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
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