Data Scientist

  • location: Jacksonville, FL
  • type: Contract
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job description

Data Scientist

job summary:
Our client in Jacksonville, FL is looking for a Data Scientist to join their growing team. This is an onsite opportunity in Jacksonville. Sponsorship is not available.

 
location: Jacksonville, Florida
job type: Contract
work hours: 8am to 5pm
education: No Degree Required
 
responsibilities:
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
 
qualifications:
Job Requirements:

  • Requires experience with Object oriented programming such as Python or Java. and statistical packages - 3 years of SAS, SAS EG, and SAS EM, 1 yr of R or Python.
  • Requires expert proficiency in SQL
  • Requires experience with visual analytical packages such as 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, Perl, Python, UNIX/Linux scripting
  • 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:

3-5 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

 
skills:
  • Object Oriented Programming such as Python, Java, SAS, SAS EG, SAS EM
  • SQL
  • Tableau or Microsoft Power BI

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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