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