South Harting, England, United Kingdom Hybrid / WFH Options
Adecco
track record of operationalizing complex models and analytics. Education: Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL. Experience with big data more »
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Bedford, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Coppell, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Colleyville, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Carrollton, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Duncanville, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Lewisville, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Addison, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Mesquite, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Grapevine, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Southlake, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Richardson, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Arlington, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Flower Mound, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Grand Prairie, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Fort Worth, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Chicago, Illinois, United States Hybrid / WFH Options
Request Technology - Robyn Honquest
within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and more »
and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products.Required Qualifications:Masters/PhD in Computer Science, Math, Physics, Statistics, or related areas. Candidates with master’s degree with industry experience or publication record in the areas of Large more »
Greater Bristol Area, United Kingdom Hybrid / WFH Options
Anson McCade
big data platforms, and data visualization. Qualifications and Experience: DV Clearance - Sole British National eligible to work on secure client sites. Degree, Masters, or PhD from a leading university in Data Science, Mathematics, Operational Research, Physics, or Statistics. Proven experience in conducting analysis for evidence-based decision-making. Strong expertise more »
Waltham, Massachusetts, United States Hybrid / WFH Options
CSL Seqirus
with a dotted line to the Director, Head of Bioinformatics & AI in the Global Research Data Science group, to be successful, you will have: PhD in a relevant field such as bioinformatics, computational biology, or computer science (a master's degree with extensive industry experience will be considered). Minimum more »