- Amazon (Seattle, WA)
- …to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to ... modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks.… more
- Toyota (Plano, TX)
- …motivated people to fill multiple Data Scientists openings to help our growing Data Science practice. This role is ideal for someone who will thrive working ... and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques. Ensure these models address key business… more
- Palo Alto Networks (Santa Clara, CA)
- …and Engineering function. The ideal candidate thrives on diving into the details of data architecture and machine learning models with their team, while ... will guide the team in applying advanced analytics and machine learning to deliver predictive insights that...Depth: You have the ability to go deep into data architecture, data science models,… more
- Karen Clark & Company (Boston, MA)
- …engineers to implement advanced data science and statistical methods including machine learning . About KCC Karen Clark & Company (KCC) is the innovation ... for cutting edge applications + Collect and analyze large data sets of atmospheric data + Conduct model sensitivity and validation tests Qualifications +… more
- Bechtel Corporation (Washington, DC)
- …a critical role in driving strategic financial decisions through advanced analytics, machine learning , and automation. This position blends financial acumen with ... cutting-edge data science techniques to optimize forecasting, planning,...Major Responsibilities: + Lead the development and deployment of machine learning models and statistical forecasting algorithms… more
- Pilot Company (Knoxville, TN)
- … engineering to define feature requirements and data quality tests. 6. Coordinate with machine learning engineers to scale and maintain data science ... Build models using techniques such as regression, logistic regression, and additional machine learning models. 4. Collaborate with business stakeholders and… more
- Publicis Groupe (Chicago, IL)
- …them into scalable, data -driven solutions. + Explore and apply statistical and machine learning methods under the guidance of senior data scientists ... Strategists and Consumer Insights teams to transform client growth opportunities into actionable data science outputs. They will work under the guidance of… more
- GE Vernova (Bellevue, WA)
- …Responsible for contributing to the development and deployment of modern machine learning , operational research, semantic analysis, and statistical methods ... (any), or Math). Six (6) years of experience in data science , engineering, or a combination thereof....stakeholders; Four (4) years of experience with applied Advances Machine Language experience (LLM or deep learning )… more
- DataRobot (Boston, MA)
- …customers and integrate those models into client environments. Serve as a Data Science technical expert representing DataRobot during customer engagements. ... AI implementation and operationalization. Train end users. Solve complex data science problems by building end-to-end AI...solutions + 3 years of experience building and implementing machine learning or AI models into production… more
- Shuvel Digital (Vienna, VA)
- …the below information for clarity on the position description. Description Our Digital data science department is dedicated to building predictive solutions for ... leaders, and business units to create custom solutions and data science models that provide insights into...and algorithms with some complexity + Utilize traditional and machine learning techniques and tools to build… more