Data scientist Jobs in Tampa fl

Data Scientist

Work Location : Remote

Requirements :

w2 only

US Citizen or Green Card only

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 - 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

DICE

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