Kforce Inc · 2 days ago
Data Analytics Engineer
Wonder how qualified you are to the job?
Maximize your interview chances
ConsultingEmployment
H1B Sponsorship
Insider Connection @Kforce Inc
Responsibilities
Extract, clean, and analyze large datasets from Epic EMR and other healthcare data sources
Develop and maintain data pipelines to ensure the accurate and timely flow of data
Perform data validation and ensure data quality and integrity
Develop and implement rules-based logic to support various healthcare use cases, including One Stop Benefits, Charge Capture Automation, and Denials Optimization
Create structured data models that facilitate the application of rules-based logic
Design and implement structured data models for RAG to enhance data retrieval and generation processes
Develop dashboards and visualizations to present RAG insights and other key performance indicators to stakeholders
Utilize AI and ML techniques to enhance the accuracy and predictive capabilities of the RAG models
Work closely with cross-functional teams, including data engineers, developers, and healthcare professionals, to understand project requirements and deliver data-driven solutions
Communicate complex analytical results and insights to non-technical stakeholders in a clear and concise manner
Participate in agile development processes and contribute to sprint planning, reviews, and retrospectives
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field; Ph.D. is a plus
5+ years of experience in data science, with a focus on healthcare analytics
Proficiency in programming languages such as Python, R, and SQL
Experience with data visualization tools such as Tableau, Power BI, or similar
Familiarity with Snowflake or other cloud-based data platforms
Knowledge of ETL processes and tools
Experience with AI and ML techniques to enhance data analysis and RAG implementation but not limited to SQL, Excel and/or SAAS
Proficient in various data catalog and visualizations tools, including but not limited to Tableau, PowerBI, Informatica, and/or Snowflake
Knowledgeable in electronic medical records, preferably EPIC
Proven experience working with Epic EMR data, including extraction, transformation, and analysis
Strong background in implementing rules-based logic and RAG in a healthcare setting
Preferred
Design and implement predictive models using various machine learning techniques, including both supervised and unserved algorithms
Utilize deep statistical analysis to understand and model complex public health data
Develop and deploy Large Language Models (LLMs) for creating chatbots and extracting insights, enhancing user engagement and information dissemination
Analyze clinical data to derive insights that improve patient care and clinical workflows
Benefits
Medical/dental/vision insurance
HSA
FSA
401(k)
Life insurance
Disability insurance
ADD insurance
Paid time off
Paid sick leave
Company
Kforce Inc
Kforce is a solutions firm specializing in technology and other professional staffing services.
H1B Sponsorship
Kforce Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (604)
2022 (772)
2021 (1207)
2020 (914)
Funding
Current Stage
Public CompanyTotal Funding
unknown2014-06-08Acquired· by Beecken Petty O'Keefe & Company
1995-08-25IPO· nyse:KFRC
Recent News
2024-05-06
2024-04-08
Yahoo Finance
2024-04-08
Company data provided by crunchbase