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Top Data Science Jobs in Boise, ID
As a Principal Data Scientist, you will develop machine learning models for pricing optimization and demand forecasting in the hotel industry. Leading projects and guiding junior team members, you will apply statistical and machine learning techniques to inform strategic decision-making and enhance revenue management offerings.
The Data Scientist (Product) will leverage statistical tools and machine learning to build innovative data solutions aimed at enhancing the marketing performance of clients. Responsibilities include designing workflows, developing models, maintaining data science processes, and collaborating with cross-functional teams to visualize and operationalize data insights.
The Data Scientist role at Nielsen focuses on developing methodologies and automating model processes in the Marketing Cloud team. Responsibilities include data analysis, model building, and contributing to innovative products that enhance digital media measurement and marketing effectiveness.
The Senior Data Scientist leads the delivery of AI/ML solutions in healthcare, mentoring data scientists and overseeing key projects. Responsibilities include designing end-to-end AI/ML solutions, fostering professional growth in the team, and advocating for data-driven decision-making.
The Field Application Scientist will provide technical expertise, conduct presentations and training, support customers with LICORbio products, and assist in sales and marketing efforts. This role requires extensive travel for customer demonstrations and support.
The role involves developing algorithms and applications for analyzing reliability data, performing statistical analysis, and utilizing machine learning to predict product reliability. Additional responsibilities include building data-driven applications, organizing insights from data, and ensuring model scalability across solutions.
The Research Scientist will leverage expertise in power markets to optimize energy asset management and develop advanced optimization algorithms. Responsibilities include influencing product roadmaps with research findings, leading experiments in energy market analytics, and mentoring team members in scientific methodologies.
As a Staff Data Scientist, you will translate customer goals into data-driven solutions, using machine learning and statistical practices to enhance product accuracy and usability. You will work in cross-functional teams to analyze data quality, develop techniques for anomaly detection, and contribute to data product development.
The Senior Revenue Analyst will manage global revenue streams, oversee month-end revenue close, ensure compliance with ASC 606, review contracts, and facilitate accurate financial reporting. The role requires collaboration with various teams to improve processes and implement solutions for revenue recognition.
The Senior Data Scientist will work with health and care data to provide insights and recommendations, maintaining algorithms, integrating new datasets, and creating data visualizations. Collaboration with operations, sales, and product teams is essential to address business needs through data-driven solutions.
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