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Data Scientist (Closed)

SkillStorm is seeking a Data Scientist for our client in Jacksonville, Florida. Candidates must be able to work on SkillStorm's W2; not a C2C position. EOE, including disability/vets.            

Job Description:

  • Data Scientists produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries. Use a flexible, analytical approach to design, develop, and evaluate predictive models. Generate and test hypotheses. The Data Scientist proactively seeks to develop their skillsets and provide value-added support within the Data Science team.

Essential Functions:

  • Communication & Project Ownership
    • Support large projects, and manage smaller projects in their entirety
    • Partner with senior team members to assess customer needs and define business questions. Emerging ability to influence customers to take action on analytical insights.
    • Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.
    • Identify and communicate roadblocks.
    • Work on multiple concurrent projects and accommodate frequent interruptions and changing priorities
    • Effectively participate in meetings with customers and emerging ability to guide discussion and decision making. 
  • Data Analysis:
    • Acquire and bring structure to data so that it can be used in existing and new data systems.
    • Build tools that help you and the other Data Scientists translate insights into action at scale.
    • Identify, define and translate business needs/problems into analytical questions.
    • Design and execute experiments, models, algorithms, and visualizations
    • Understand data sources and limitations, warehousing system and the impact of the data on business decisions.
    • Identify, retrieve, and manipulate data from internal and external datasets.
    • Apply statistical and computational methodologies to provide actionable insights and identify opportunities that optimize quality, consumer experience, and healthcare costs.
    • Develop scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.
  • Reporting & Other
    • Contribute to technical reports, white papers, and publications.
    • Stay current on new processes and technology in Data Science and communicate findings to team
    • Perform all other tasks as assigned

Job Requirements:

  • Requires experience with Object oriented programming such as Python or Java and statistical packages of R or Python.
  • Requires expert proficiency in SQL
  • Requires experience with visual analytical packages (e.g. Tableau or Microsoft Power BI)
  • Strong analytical and problem-solving skills
  • Experience in supporting large projects, and manage smaller projects in their entirety
  • Ability to partner with senior team members to assess customer needs and define business questions. Emerging ability to influence customers to take action on analytical insights.
  • Ability to communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.
  • Must have applied experience with advanced analytics e.g. predictive analytics models
  • Must have applied experience in Machine Learning
  • Experience in Big Data - e.g. Hadoop
  • Business Intelligence tool development
  • Other programming experience - Java, Python
  • Healthcare, medical, or pharmaceutical work experience
  • Experience with analysis around quality, consumer experience, and healthcare costs
  • Experience in consumer analytics
  • Experience in business analytics

Required Experience:

  • 2-5 years related work experience in advanced analytics or equivalent combination of transferable experience and education

Required Education:

  • Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience
  • (Highly Preferred) Masters/PhD in a quantitative discipline desired: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, Physics, or similar

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