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Sr. Data Scientist (remote)

Overland Park, KS · Information Technology
Sr Data Scientist (remote)

Salary:$110K - $120K base




Summary: 

Must have experience with Python, Machine Learning, Deep Neural Networks, & Cloud.

Under moderate supervision and guidance, provide advanced analytics solutions using innovation and sound methodology to problem-solving and solution delivery.  Communicate approaches and solutions with the customers, management, and team.

Responsibilities:
  1. Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to provide high-value data-driven solutions.
  2. Develops and maintains data pipelines that connect internal and external data sets.
  3. Creates new data collection frameworks for structured and unstructured data.
  4. Continuous education to build a living knowledge of the organization, processes and customers.
  5. Uses prescribed guidelines or policies to analyze and resolve problems.
Requirements:
  1. Master’s degree specializing in Computer Science, Statistics, Mathematics, or related field
  2. Five (5) or more years working with Python, R, Qlikview, Tableau, SQL to pull together disparate data sources or a combination of work experience and professional research.
  3. Five (5) or more years working in implementing machine learning and deep neural networks in the cloud
  4. Sound knowledge of traditional as well as agile software development methodologies.
  5. Familiarity with a variety of RDMS and Big Data storage frameworks.
  6. Strong analytical and quantitative skills.
  7. Strong ability to carry out research and innovation.
  8. Highly effective working in a team, as well as working independently.
  9. Demonstrated good oral and written communication skills.
  10. Demonstrated strong customer service and interpersonal skills.
Preferred Qualifications:
  1. Master’s in Computer Science, Statistics, Mathematics, or related field.
  2. Experience with AWS or Azure.
  3. Oracle, SQL Server, Redshift, and Azure Synapse RDBMS experience.
  4. Experience with SSAS (Tabular and Multidimensional

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