May 14, 2024
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Toms River, NJ, United States
May 14, 2024
Apply NowJob description
This is a remote position.
DISCLAIMER: This job posting is intended for active pooling of candidates who will become part of our talent pool. Your qualifications will be assessed against both current and future job openings. Should your application align with a role that corresponds to your skills and experience, and an opportunity arises, our recruitment team will reach out to you immediately. Please note that this does not guarantee immediate placement or contact. Additionally, we exclusively consider applications from individuals who are currently reside in the US/Canada during their application process.
Salary: $62,000 - $72,000 per annum
Experience Required: Minimum 1 year of project experience
Summary:
The National Analytics Team at Phoenix is responsible for managing client projects that focus on employers’ health benefits strategies, including financial projections, carrier selection, plan design optimization, employee contribution setting, IBNR valuations, benchmarking, well-being initiatives, and renewal negotiations.
As a part of the R&D team, the Data Scientist helps to develop new models and tools that our local consultants will use to service their individual clients. This position provides the opportunity to work with many key thought leaders across each region as we further innovate and digitize our overall strategy when it comes to consulting.
Essential Duties and Responsibilities (include but are not limited to):
DISCLAIMER: This job posting is intended for active pooling of candidates who will become part of our talent pool. Your qualifications will be assessed against both current and future job openings. Should your application align with a role that corresponds to your skills and experience, and an opportunity arises, our recruitment team will reach out to you immediately. Please note that this does not guarantee immediate placement or contact. Additionally, we exclusively consider applications from individuals who are currently reside in the US/Canada during their application process.
Salary: $62,000 - $72,000 per annum
Experience Required: Minimum 1 year of project experience
Summary:
The National Analytics Team at Phoenix is responsible for managing client projects that focus on employers’ health benefits strategies, including financial projections, carrier selection, plan design optimization, employee contribution setting, IBNR valuations, benchmarking, well-being initiatives, and renewal negotiations.
As a part of the R&D team, the Data Scientist helps to develop new models and tools that our local consultants will use to service their individual clients. This position provides the opportunity to work with many key thought leaders across each region as we further innovate and digitize our overall strategy when it comes to consulting.
Essential Duties and Responsibilities (include but are not limited to):
- Assist in developing models/tools that will be used across the company
- Assist in audits to ensure integrity of data
- Debug, test, and maintain new and existing models
- Provide R&D support and manage model enhancement requests
- Train users/answer questions on new models/developments
- Actively seek out ways to improve processes, reduce risk, increase productivity and lower costs
- 2+ years of experience with advanced Excel /VBA best practices to create Macros with code that is easy to understand, transferable and easy to maintain
- Experience working with visualizing tools such as Tableau, Power BI, Domo, Pivots/Advanced Excel
- Proficiency in data visualization and scripting/programming languages (SQL, R, Python) desired
- Comfortable working with complex/big data sets
- Self-motivated, Well-organized high achiever with the ability to handle several projects/tasks simultaneously
- Fast learner with strong problem solving and quantitative skillset
- Critical thinker with ability to see the big picture
- Dedicated work ethic with a commitment to client service excellence
- Bachelor's/Master's degree in fields such as: data science, data engineering, data mining, computer science, computer engineering, statistics, mathematics, or equivalent quantitative discipline
- 2-4 years of relevant work experience
