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Monday Business Data Analyst United States, New York, New York
Analyze complex data sets independently, identify key insights, and translate them into actionable recommendations. Create and maintain dashboards to track performance, monitor KPIs, and communicate insights to the team through...
Support collaborative academic and clinical partners (radiologists, physicists, technologists, and specialists) in highly collaborative clinical research with emphasis on assigned key academic and clinical sites in modalities related to Breast...
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Apply technical expertise with quantitative analysis, experimentation, data mining,...
DESCRIPTIONKey job responsibilities Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language related challenges in the international seller services domain....
BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field 5+ years of building machine learning models for business application experience...
Publish your innovation in top-tier academic venues and hone your presentation skills. Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.BASIC QUALIFICATIONSBasic qualifications include:-...
DESCRIPTIONThis position will be required to sit in Fredericksburg, VA as the primary location for approximately 4 6 months until the building in Stafford, VA is open and operational.Key job...
Analyze complex data sets independently, identify key insights, and translate them into actionable recommendations. Create and maintain dashboards to track performance, monitor KPIs, and communicate insights to the team through...
Data Scientists are responsible for analyzing and interpreting large and complex datasets to uncover insights that inform business decisions and drive innovation. They use a combination of statistical and machine learning techniques, as well as programming languages such as Python and R, to extract, clean, and transform data. They also use tools such as SQL, Hadoop and Spark to work with large datasets and perform data analysis.
Data Scientists work closely with cross-functional teams, such as product managers, marketing and operations, to understand their specific data needs and provide them with insights to make informed decisions. They also collaborate with data engineers to build and maintain the infrastructure necessary for data analysis. They also use data visualization tools such as Tableau and Power BI to create interactive dashboards and reports to communicate data insights clearly and effectively to non-technical stakeholders.