Senior Data Scientist

  • location: Minneapolis, MN
  • type: Contract
  • salary: $57.50 - $71.88 per hour

job description

Senior Data Scientist

job summary:
Functional Description:

  • Positions in this function produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets typically measured in gigabytes or larger.
  • Applies 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.
  • Uses a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data.
  • Works with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data. This function is not intended for employees performing the following work: less complex analysis on small data sets; rules-based algorithmic or descriptive analytics; development of big data infrastructure.
General Profile:

  • Company thought leader.
  • Functional SME.
  • Broad business approach.
  • Resource to senior leadership.
  • Develops pioneering approaches to emerging industry trends.
Job Scope:

  • Predicts emerging customer needs and develops innovative solutions to meet them.
  • Solves unique and complex problems with broad impact on the business.
  • Participates in the development of business strategy.
  • Develops and manages business plans to achieve objectives.
  • Leads large, complex projects to achieve key business objectives.
  • Translates highly complex concepts in ways that can be understood by a variety of audiences.
  • Influences senior leadership to adopt new ideas, products, and/or approaches.
  • May have segment-wide impact.
  • Directs cross-functional and/or cross-segment teams.
Requirements:

  • 5+ years hands on model building using Python and scripting languages
  • Hands-on experience using structured and unstructured data
  • Appetite for risk taking, openness to influence with energy to deliver
  • Preferred: 5+ years of Healthcare experience
  • Preferred: 3+ years of experience working with Provider data
Ideal candidate background look like (ex: healthcare specific background, etc.)?

  • Data scientist
  • Machine learning / AI
  • Healthcare/provider background preferred
  • 5+ years hands on model building using Python and scripting languages
  • Hands-on experience using structured and unstructured data
 
location: Minneapolis, Minnesota
job type: Contract
salary: $57.50 - 71.88 per hour
work hours: 8am to 5pm
education: No Degree Required
 
responsibilities:
  • Positions in this function produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets typically measured in gigabytes or larger.
  • Applies 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.
  • Uses a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data.
  • Works with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data.
  • This function is not intended for employees performing the following work: less complex analysis on small data sets; rules-based algorithmic or descriptive analytics; development of big data infrastructure.
 
qualifications:
  • Experience level: Experienced
  • Minimum 7 years of experience
  • Education: No Degree Required
 
skills:
  • Python
  • Machine learning
  • scripting languages

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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