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Job Summary:
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 functional ma
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
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
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
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 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
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
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 Technologies
Data Scientist
Irving, TX, United States
Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.? Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.? Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.? Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs.? Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development.? Develop monitoring and evaluation frameworks to track AI model performance and ensure alignment with business goals.? Communicate complex AI concepts and findings to technical and non-technical audiences through data visualization, storytelling, and presentations
Competencies: Digital : Python, Digital : Artificial Intelligence(AI)
Desirable Skills: ? Programming languages: Python (proficient) with major Client libraries? Experience with opensource Gen AI LLMs e.g., Llama and Dolly? Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers? Generative AI techniques: Experience with GANs, text-to-image generation, text generation models? Data wrangling & manipulation: SQL, data cleaning, feature engineering? Hyperscalers : AWS, Azure, or GCP experience a plusNon-technical? Problem-solving & critical thinking: Ability to identify and solve complex problems with data-driven solutions.? Communication & collaboration: Effectively communicate technical concepts to diverse audiences, work with geographically distributed teams? Innovation & creativity? Attention to detail & accuracy? Self-motivation & continuous learning