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Data Scientist at The Home Depot designing and developing algorithms and models on large datasets to drive business insights, using Python, SQL, Tableau, and ML/AI techniques including NLP, computer vision, and generative AI.
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team…
Lead a data science team at Signature Aviation while staying hands-on building ETL pipelines, machine learning models, and AI-driven analytics solutions using Python, SQL, and Databricks to improve aviation operations and business outcomes.
One of the best-known names in cruising, Princess is the world’s leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give…
The Senior Director of Data Analytics will lead a team to develop predictive models, forecasts, and decision-support tools to optimize operational execution and customer experience. The role involves setting analytics strategy and collaborating across departments to drive data-informed decision-making within the organization.
The Specialist Data Scientist will deliver end-to-end analytical solutions and actionable insights for the Mass Foundation Cluster by leveraging statistical modeling, machine learning, and data visualization. The role involves collaborating with business partners to solve complex problems using tools like SQL, Python, R, and SAS.
Senior data analyst designing and maintaining reports and dashboards using SQL and Power BI to analyze healthcare claims, utilization, and financial data, partnering with stakeholders to drive strategic and operational decisions.
Analyst supporting Molina Healthcare's risk adjustment predictive analytics—designing suspect/targeting systems, building QA reporting, and analyzing claims/pharmacy/lab data using SQL, Power BI, and cloud platforms (Azure/AWS).
Healthcare data analyst turning claims and operational data into actionable insights via SQL, Databricks, Excel, and Power BI to build reports and dashboards supporting decision-making and cost containment.
The Senior Data Scientist will develop predictive models and perform advanced statistical analysis on healthcare datasets to improve patient outcomes and clinical workflows. The role requires expertise in Python, SQL, and big data frameworks to build AI-powered healthcare applications.
Data Scientist applying ML/AI to biologicals discovery for crop health, building predictive models that integrate genomic, metabolomic, and phenotypic data using Python, PyTorch, and deep learning.
Tenure-track Assistant/Associate Professor conducting AI/ML research applied to veterinary medicine, disease prevention, and population health, while teaching and mentoring veterinary and graduate students at Ohio State University.
ANDERSEN CORPORATION SUMMARY: At Andersen, we see possibility everywhere, every day and in everything we do. The possibility for our employees to achieve their full potential, for our communities to be stronger and for…
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
Build predictive models, time-series forecasts, and generative-AI tools to automate sales insights and optimize revenue for AMD’s Sales Operations team using Python, SQL, and ML frameworks.
Evaluate AI-generated data science solutions and ML outputs for accuracy and reasoning quality on a part-time hourly contract, using Python, SQL, and statistical modeling expertise.
Evaluate AI-generated data science solutions, statistical analyses, and machine learning outputs for accuracy and technical soundness, providing structured expert feedback to improve next-generation AI systems using Python, SQL, and ML frameworks.
About Amperity—Why This, Why Now Most customer data is a lie by omission. Every consumer brand wants to know its customers. Unfortunately, almost none actually do. Data is scattered across a dozen systems, half of it…
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