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US Anesthesia Partners
Dallas, TX, United States
We are in search of a talented Data Scientist with a robust background in applied data science within the healthcare sector. This role requires expertise in leveraging healthcare claims data and processes, with a strong emphasis on Revenue Cycle Management (RCM) Analytics, to derive actionable insights. The ideal candidate will possess exceptional
Job Source: US Anesthesia PartnersLockton
Dallas, TX, United States
Your Responsibilities Lockton Dunning Benefits is currently seeking a Data Scientist who will be responsible for developing, maintaining, and supporting the data science solutions for the company. This includes the collection, aggregation, and analysis of data from multiple sources to provide insights, reporting, interactive visualization for func
Job Source: LocktonUshitecsolutions
Dallas, TX, United States
Formulating, suggesting, and managing data-driven projects which are geared at furthering thebusiness's interests Collating and cleaning data from various entities for later use by junior data scientists Delegating tasks to Junior Data Scientists in order to realize the successful completion ofprojects Monitoring the performance of Junior Data Scie
Job Source: UshitecsolutionsNLP PEOPLE
Dallas, TX, United States
BIG DATA Careers is currently looking for an experienced data scientists for one of our clients. The Data Scientist leads quantitative aspects of projects to analyze human performance variability as it relates to business outcomes. Incumbent recommends and determines how processes could be operationalized and scaled. He/she uses sound problem solv
Job Source: NLP PEOPLECynet Systems Inc
Dallas, TX, United States
Job Description: Need 1 Data Scientist, With core skills. Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist with a focus on machine learning modeling. Strong proficiency in Databricks for building and deploying machine learning models. Proficiency in programming langua
Job Source: Cynet Systems IncFederal Reserve Bank of Dallas
Dallas, TX, United States
Company Federal Reserve Bank of Dallas We are dedicated to serving the public by promoting a strong financial system and a healthy economy for all. These efforts take a team of dedicated individuals doing many different jobs. Together we’re creating a workplace where talented people can thrive, and we welcome your unique background and perspectiv
Job Source: Federal Reserve Bank of DallasSystem Soft Technologies
Dallas, TX, United States
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream pro
Job Source: System Soft TechnologiesBlue Yonder
Dallas, TX, United States
Role : Data Scientist -I Location: Dallas, TX -Locals only, NO REMOTE As an active member of the Data Science Team within R&D, Data Scientist / Data Engineer contributes to Blue Yonder’s current and upcoming SaaS solutions and services offering through the improvement, research, design, operations, and development of innovative optimization and
Job Source: Blue YonderDallas, TX, United States
Primary Function:
Upland Capital Group, Inc. is an AM Best rated “A-” VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland Specialty Insurance Company, the company markets, underwrites and services specialty insurance products in select markets to include excess transportation, construction casualty, excess casualty, primary general liability, excess public entity, professional liability errors and omissions as well as excess cyber liability.
We focus on “old school” underwriting as a craft, add “new school” analytics and technology, and encourage a gritty, growth mindset among people called “we entrepreneurs.”
At our Risk and Analytics (R&A) team, we focus on Actuarial, Data Science, Data and Model Engineering, and Enterprise Risk Management functions. Our Actuarial and Data Science model environment and architecture is containerized, and we are cloud based, running on Azure. Our vision is to build highly automated and efficient processes to build, test, and deploy our models and products for enhancing actuarial, underwriting and claim insights with timely and relevant data-driven analytics and technology. We look to create models that require creative problem solving and a close collaboration with stakeholders across the organization, not limited by a ‘one size fits all’ mindset.
As a startup Excess and Surplus (E&S) carrier, we face unique and interesting problems every day. We are looking for a Data Scientist to join our R&A team. This role will report to the Director, Data Science.
** Duties and Responsibilities: **
• Translate business requirements from different stakeholders into actionable data science projects
• Curate modeling datasets using internal and external data sources
• Build, test, and deploy models and other analytics products using appropriate techniques
• Ensure robust processes are in place for model documentation, monitoring, and maintenance
• Research, learn, test, and apply new techniques for non-standard insurance problems
• Apply data and model privacy and security protocols with R&A Data and Model Engineering team
• Collaborate closely with the rest of the R&A team and other business functions and provide clear and concise communications to the stakeholders
• Stay current on industry trends and best practices in data science
• Other ad hoc projects such as investigating third party data or enterprise technology solutions
**
**
_ Experience, Education, Special Skills Required: _
• Bachelor's Degree plus 2 years of Data Science Experience
** Required Experience, Education, and skills: **
• 2+ years of technical experience in data science in the insurance industry
• Basic understanding of P&C insurance industry
• Self-starter, quick learner, and creative problem solver that thrives in a flexible, fast-paced, and remote work environment
• Proficiency in programming languages such as Python, R, and SQL
• Strong knowledge of a variety of techniques and the ability and interest to learn new techniques quickly (e.g. Regression, Classification, Bayesian, Reinforce Learning, Natural Language Processing, Price Optimization, Large Language Models, etc.)
Preferred Experience, Education, and Skills:
• Experience in the end-to-end model creation and deployment process to improve product, pricing, reserving, underwriting, and claims in P&C insurance
• P&C insurance domain knowledge, especially knowledge in commercial lines insurance and E&S products
• Bachelor's or Master's degree in Mathematics, Statistics, Data Science, Actuarial Science, or related quantitative field
• Ability to create production quality code
• Experience with non-relational (NoSQL) databases and cloud environment (e.g. Azure, AWS)
• Experience with a fully containerized model architecture
• Knowledge of agile development practices using Git
• Experience with visualization tools such as Power BI
** Benefits: **
Flexible Time Off
Parental leave
Health Insurance
401k benefits
Dental plans
Vision plans
Life insurance plans
Disability plans
Mental health benefits
Professional development
Education reimbursement
Email Alert for Data Scientist jobs in Dallas, TX, United States
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