Data Scientist job in Jacksonville, FL
Vacancy has expired
Jacksonville, FL CorTech LLC
| Job Ref: | 343150 |
| Employer: |
CorTech LLC |
| Job Type: | Contract |
| Salary and Benefits: | 53.00-62.00/Per Hour |
| Remote: | No |
Location |
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| City: | Jacksonville, FL |
| Post Code: | 32099 |
| Map: |
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Description |
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**NO C2C/ NO SPONSORSHIP** PROJECT SCOPE: Working on creating modules for future predictions within our Data Science team 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), clearly and concisely 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 systems, 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, 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 the 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 managing 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), clearly and concisely 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 EDUCATION/EXPERIENCE: -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 -3-5 years related work experience in advanced analytics or equivalent combination of transferable experience and education -Proficient with creating and running SQL queries (moderate to complex) | |
ref: (343150)
1061 days ago
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