Data Scientist
WFA Digital Insight
As the demand for data-driven decision making grows, companies like Epistemix are leading the charge. With a 25% increase in data scientist job postings in the last year, this role is a prime example of the high demand for skilled professionals who can drive customer satisfaction through data integration and modeling. Epistemix stands out for its innovative approach to simulation and data-driven modeling, and candidates with a strong foundation in machine learning and predictive analytics will be well-positioned for success. Before applying, candidates should be prepared to showcase their ability to collaborate with diverse teams and communicate complex data insights effectively.
Job Description
About the Role
The Data Scientist role at Epistemix is a unique opportunity to support customers in their data integration and modeling efforts, driving customer satisfaction and revenue growth. As a key member of the team, you will work closely with customers to understand their goals and develop data integration, modeling, and visualization plans to support decision making. The role is highly collaborative, with opportunities to work with cross-functional teams, including sales, product, and customer success.The day-to-day responsibilities of the role will involve working with customer teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases. You will also provide guidance on proposals, contribute to customer onboarding experiences, and engage with customer users to provide informal support and troubleshooting.
The team at Epistemix is passionate about using data science to drive meaningful impact, and this role is a chance to be part of a dynamic and innovative company that is pushing the boundaries of what is possible with data-driven decision making.
What You Will Do
- Support customers in their data integration and modeling efforts, driving customer satisfaction and revenue growth
- Develop data integration, modeling, and visualization plans to support decision making
- Collaborate with customer teams to develop, test, and validate simulation models
- Provide guidance on proposals and contribute to customer onboarding experiences
- Engage with customer users to provide informal support and troubleshooting
- Participate in reviews with customers to document and improve measurable impact
- Work with cross-functional teams, including sales, product, and customer success
- Stay up-to-date with advancements in data science, machine learning, and healthcare analytics
- Contribute to the development of simulation models, data visualizations, and recommendations
What We Are Looking For
- Commitment to understanding customer needs and helping them achieve goals
- Creative mindset with a passion for tackling challenging problems with data
- Ability to collaborate with diverse users and internal teams
- Strong communication skills, including verbal, code, visualizations, and maps
- Strong foundation in machine learning, data modeling, and predictive analytics
- Understanding of key concepts of the healthcare industry
- Prior healthcare experience strongly preferred
- Proficiency in Python and associated data science technologies
- Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools
Nice to Have
- Expertise in SQL or NoSQL databases
- Experience with cloud-based data platforms
- Familiarity with agile development methodologies
Benefits and Perks
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Flexible working hours and remote work options
- Access to cutting-edge data science tools and technologies
- Recognition and reward for outstanding performance
How to Stand Out
- Highlight your experience with data visualization tools and machine learning algorithms in your resume and cover letter
- Be prepared to provide examples of how you have driven customer satisfaction through data integration and modeling in previous roles
- Showcase your ability to communicate complex data insights effectively to non-technical stakeholders
- Emphasize your passion for using data science to drive meaningful impact in the healthcare industry
- Research the company and be prepared to ask informed questions about the role and the team during the interview process
- Consider including a portfolio of your work or examples of your data visualizations to demonstrate your skills
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