Associate Data Scientist
Information Technology company
Information Technology company
W-2 onlyContract1358 views
Jacksonville, FL 32256
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Associate 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 Associate Data Scientist proactively seeks to develop their skillsets and provide value-added support within the Customer Experience (CX) Measurement & Analytics team.
- 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 internal 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 internal customers and emerging ability to guide discussion and decision making.
- With guidance from senior team members identify, define, and translate business needs/problems into analytical questions.
- With guidance from senior team members, 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 health care and insurance costs.
- Assist with the development of 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.
- Support other team members as needed.
Required Qualifications
- 2+ years related work experience Data Scientist or similar role
- Related Bachelor’s degree or additional related equivalent work experience
- 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
- Requires experience with statistical packages –- 1-2 years of R (SAS is acceptable) and experience in SQL.
- Strong analytical and problem-solving skills.
- Willingness and ability to support 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 effectively communicate results and insights, both oral and written (including visual graphics), in a clear and concise manner to a non-technical audience.
- Must have applied experience with advanced statistics, e.g. predictive analytics models.
- Must have experience in analytics visualization.
- Experienced in Excel and PowerPoint.
- Must have strong teamwork and collaborative skills.
- Proven ability to meet and exceed deadlines.
- Strong decision-making ability.
Preferred Skills
- Master’s degree
- Experience in Big Data (e.g., Hadoop)
- Experience with other tools (e.g., Tableau, PowerBI, Clarabridge, and Netezza)
- Business intelligence tool development.
- Other programming experience (e.g., Java, Perl, Python, UNIX/Linux scripting)
- Health care, health insurance, medical, pharmaceutical, or customer experience work experience.
- Experience with analyses around quality, consumer experience, and health care and insurance costs.
- Experience in consumer analytics.
- Experience in business analytics.